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Job Summary: • Determine requirements for reporting use cases via stakeholder interviews and review of existing dashboards • Define ingestion and automation approach for Adobe Analytics data into GCP • Automate loading of data from Google Cloud Storage into Big Query • Write queries in Google BigQuery to stitch, aggregate and filter data from Google Search Ads 360, Display and Video 360 and Adobe Analytics • Visualize data in Data Studio from BigQuery tables. Project Overview: Consultant will build a marketing data warehouse in Google Cloud for Comcast to optimize media spend and marketing interactions across channels. This work will be conducted across the three work streams outlined below at Comcast’s direction: 1) Strategy & Roadmap • Refine, recommend and prioritize MDW measurement and activation use cases • Audit ingestion of data sources already ingested • Define holistic platform architecture, automation, and ID stitching roadmap, including approach for match-back use case 2... Data Source Ingestion & Automation • Define ingestion automation approach • Ingest data sources into GCP • Validate against data sources for accuracy • Set up recurring automated ingestion 3) Report Design & Development • Document report specific requirements • Audit current reports • Mockup dashboards • Define data aggregation logic and build queries • Build dashboards in Data Studio • Validate and review dashboards
There’s a reason Insperity was ranked in the top 3% on WorkplaceDynamics’ National Top Workplaces list and named one of the top 100 companies to work for in the U.S. Want to work for us and find out why? As a trusted advisor to America’s best businesses for more than 34 years, Insperity provides an array of human resource and business solutions designed to help improve business performance. In addition, we provide the client company and their worksite employees with a wide array of value-added benefits and services. Middle Market is where challenge is fun, results are rewarding and we live our values. The Insperity Middle Market Solutions team is an exceptional group focused specifically on supporting our larger clients ranging in size from 150 to 5,000 employees. Part of our mission is to help our Middle Market clients become the best they can be by understanding their unique challenges and integrating relevant human capital/human resources solutions that accelerate their... potential. Manager, Data Science We are currently seeking a Manager, Data Science to join our team. This position can be virtual anywhere in the U.S. SUMMARY As part of the Market Insights & Analytics team, this position is responsible for leading efforts to leverage business performance data and associated metadata maintained in internal and external databases to enhance performance and gain insights into results. Designs, plans, advocates, and builds data-fueled analytics products that help Insperity teams better understand past and improve future outcomes. Provides insight into leading analytic practices as well as produces new and creative analytic solutions utilizing advanced techniques and algorithms. ESSENTIAL FUNCTIONS Under limited supervision and much decision-making: • Works closely with divisions and departments to understand data insight needs and translates them into appropriate analytics instruments. Improves data access processes enabled through the implemented technologies • Develops processes and tools to monitor data quality. • Develops processes and tools to monitor and analyze business performance. • Architects, develops, and uses a variety of datasets to find opportunities for product and process optimization. • Architects and develops a variety of analytic instruments (models, simulations, etc.) to test and validate the effectiveness of different courses of action. • Works with stakeholders throughout the organization to identify opportunities for leveraging company data and non-structured domain knowledge to drive business solutions. • Acts as a key stakeholder in defining strategies for data capture, hygiene, and utilization. • Leads, defines and manages analytics releases, builds functional specifications for future analytics needs and represents the divisions and departments to ensure high-level technical design and project teams meet the defined schedules. • Works with divisions and departments, applicable employees and development teams during the design, development, test, training and launch phases of the analytics release cycle. • Ensures all customer and quality requirements are satisfied in the analytics product delivery. EXPERIENCE REQUIREMENTS • Bachelor’s Degree or advanced degree in Business, Statistics, Psychology or a related field is required. • Seven to ten years of experience in the following disciplines / roles: (1) project management, (2) requirements management, (3) data architecture and database development (4) performing and presenting a variety of business analyses related to managing risk, business opportunity discovery, and increasing operational efficiencies, (5) supervisory experience with development teams and line of business colleagues, (6) a record of collaboration and relationship building with business stakeholders and senior management is required. KNOWLEDGE / SKILLS • Curious, motivated, and highly organized self-starter and decision maker capable of working with limited supervision. • Excellent networking and relationship-building skills. • Ability to learn new concepts quickly. • Communicates effectively--verbally and in writing-- with an ability to express complex technical concepts in clear and accessible business terms. • Broad working knowledge of data analysis concepts, applied mathematics, statistics, database management, relational database architecture, and data quality control processes. • Expert level of competence in the development of Tableau Platform deliverables, advanced knowledge of Tableau Desktop and Tableau Server, and how the various components of the Tableau Platform complement each other. Knowledge of Tableau Prep is a plus. • Broad working knowledge of Windows operating systems and a wide variety of desktop applications (including spreadsheets, word processors, presentation graphics) in a network environment, and Internet browsers and related Internet tools. • Ability to create and maintain reports using specialized report writing software other than Tableau Platform components would be a plus. • Experience using statistical computer languages (R, Python, SPSS, SAS, etc.) and / or at least one leading Data Science Platform to manipulate data and draw insights from large data sets, including experience with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Working knowledge of relational database programs, especially Microsoft SQL Server. Demonstrated competence in writing SQL code (T-SQL, P-SQL, etc.). • Problem solving skills with the ability to apply unique and creative approaches to resolve issues and able to deal with conflicts and problems constructively. • Demonstrated analytical, statistical and critical thinking skills. • Exhibits a positive team player attitude with a sense of urgency directed toward the provision of successful solutions for specific projects. • Demonstrated ability to work independently, be a self-starter, be innovative and actively seek new or better methods of competence. Benefits: Insperity offers a competitive compensation package and one of the best benefits packages in the business, including 19 days paid time off, 8 paid holidays, medical, dental and vision benefits, 401k and tuition reimbursement. At Insperity, our work environment and our commitment to our employees’ personal and professional success are the reasons we’re regarded as one of the “Best Places to Work.” At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law
Clinical QC UAT Data Scientist • Remote / • Data Science & AI Solutions / • Full-Time About ConcertAI ConcertAI is the leading provider of precision oncology solutions for biopharma and healthcare, leveraging the largest collection of research-grade Real-world Data and the only broadly deployed oncology-specific AI solutions. Our mission is to improve translational sciences; accelerate therapeutic clinical development; and provide new capabilities for post-approval studies to accelerate needed new medical innovations to patients and to improve patient outcomes. ConcertAI has emerged as one of the highest growth technology companies in Real-world Data and AI, backed by industry leading private equity companies: SymphonyAI, Declaration Partners, Maverick Ventures, and Alliance|Bernstein. Role Summary The Clinical QC UAT Data Scientist role at ConcertAI provides a unique opportunity for individuals with extensive analytical and epidemiological experience to help support our data... strategy. He or she will leverage our platform to develop innovative approaches to evaluating the quality and fit-for-purpose of our data through running basic outcomes research, epidemiologic studies, and quality reporting metrics. An ideal candidate will have experience in analyzing healthcare data and data quality from electronic medical records and claims. Responsibilities • Work on a day-to-day basis with ConcertAI Data Operations, Informatics, and Software Engineering Teams to continuously monitor and improve data quality, completeness, and usability. • Utilize advanced statistical and data science methods for data profiling, quality monitoring, and real-world data analysis. • Develop and adapt quality-based reporting metrics to measure data quality and robustness within and across all ConcertAI data partners. • Coordinate and perform basic HEOR, epidemiological, and pharmacovigilance studies and compare results with the medical and scientific literature. • Coordinate with the Informatics team around developing and refining methods for clinical data codification to SNOMED, LOINC, CPT, RxNorm, and other standard ontologies. • Support our overall data strategy and our partners’ strategies by coordinating closely with our Customer Success team, Embedded Data Scientists, and Strategic Data Scientists to understand tour clients’ research projects and strategic goals and ensuring that the ConcertAI data can meet those goals. • Directly support our clients through their UAT processes to understand their use cases, strategic goals, and user acceptance criteria and directly address any issues they encounter. Requirements • Master’s degree or higher in bioinformatics, epidemiology, public health, or related field with at least three years of research in a health care, research, pharmaceutical, or academic environment. • Thorough knowledge of research methodology and statistical methods with demonstrated ability to work with a wide variety of data structures, coding schemes, and data sources. • Experience working with or inside Life Sciences and/or Pharma on real-world data analytics projects. • Working knowledge of medical code sets, such as HCPCS, ICD, CPT, SNOMED, LOINC, and NDC. • Published work in the area of clinical data analysis. • Working knowledge and experience with databases (SQL preferred) and statistical modeling tools, such as SAS, S, or R. • Strong organizational, interpersonal, and problem-solving skills • Working knowledge of outcomes research, predictive modeling, and data quality metrics Learn More About ConcertAI ConcertAI is transforming how healthcare is delivered and dedicated to improving patient outcomes in oncology by offering innovative solutions on how data and intelligence is used to solve healthcare problems. We are creating something special in our culture, by building a collaborative, engaged, patient focused, team approach to our mission. Our high-performance teams are looking to add great talent to the mix and we are hiring for the right mix of new skills and diverse mindset
WHO WE ARE Postmates enables anyone to have just about anything on-demand. We pioneered the on-demand space and currently serve 80% of US households with a fleet of more than 350,000 Postmates and the largest network of merchants in the US. We’re changing the landscape of commerce by making cities our warehouses, providing the delivery infrastructure, and connecting our customers to any product, anywhere, anytime. Postmates isn’t just an app, it’s a way of life and a part of pop culture. We are the O.G. of on-demand and we’ve given people a new superpower — the ability to Postmate anything from anywhere. We’re building a movement to make Postmates a verb: Postmate it. WHAT WE DO Postmates relies heavily on our engineering team to realize this vision. Building a software platform that is reliable, scales, and stays agile under demanding product needs is a serious technical challenge. Postmates is a three-part balancing act connecting customers, merchants, and couriers in real-time... If any piece is out of whack, the whole system suffers. Working with the Postmates engineering team offers an opportunity with explosive growth, cutting-edge technology, a highly visible charter, and a cool user-focused product vision. As a Data Scientist, you’ll use your full toolkit - statistical modeling, machine learning, data mining, data visualization, and software engineering - to develop data products and models that are used by millions of users and power the growth of our business. You will collaborate with a strong team of engineers, product managers and data analysts in defining the frontier of data products and models in the three-sided marketplace. Data scientists will work on how to formulate a model from a real business problem, determine evaluation metrics, evaluate different modeling approaches, conduct data analysis, and build features and algorithms for the various challenging problems at Postmates. YOUR RESPONSIBILITIES • Modeling and forecasting demand and supply to enable more intelligent matching, optimize the overall marketplace efficiency and provide valuable insights to our merchants and Postmates • Large scale Machine Learning algorithms that powers our Search Ranking models and Personalized Recommendation Engine • Predicting the Postmates Delivery Time (PDT) and improving the dispatching algorithm • Determining the optimal pricing strategies to help our Postmates maximize their revenue • Identifying suspicious transactions and malicious users for risk control • Natural Language Processing to understand text content on Postmates platform, including named entity resolution and recognization of reviews, descriptions and interactions between users on our marketplace OUR REQUIREMENTS • A Bachelor’s/Master’s degree (or higher) in a technical field (Computer Science, Statistics, Economics, Operations Research, Math, Physics, Engineering, etc.) or equivalent work experience required. • minimum of 3+ years of professional experience in Data Science or Applied Machine Learning required • A deep theoretical understanding of modern machine learning algorithms, statistical models, or optimization • Extensive experience with data tools, Python (Pandas, Scipy, Numpy, Scikit-Learn, etc), R, SAS, SQL, etc and strong skills in data analysis, data visualization, and feature engineering • Ability to own your modeling work from model development all the way to production deployment and beyond with minimal help from engineers • Strong communication skills; Explaining complex technical concepts to product managers, data analysts, and other engineers shouldn’t be a problem for you OUR PREFERRED QUALIFICATIONS • Experience with MapReduce, Spark, Hive, HBase, Google BigQuery, and BigTable • Experience with ML frameworks like Tensorflow, PyTorch, Spark MLlib, XGBoost, and Scikit-Learn YOUR BENEFITS Postmates has your back. In our impact-first work environment, we value huge company vision. As you strive to build the future with us, we’ll support you with a competitive salary and equity plan, along with access to our 401k plan and robust benefits including: health benefits, flexible paid time off, parental benefits, and food perks. Postmates focuses on Food and Beverages, Marketplaces, Postal and Courier Services, Transportation, and Logistics. Their company has offices in Los Angeles, San Francisco, Seattle, and Nashville. They have a very large team that's between 1001-5000 employees. To date, Postmates has raised $853.01M of funding; their latest round was closed on July 2020. You can view their website at https://postmates.com/ or find them on Twitter, Facebook, and LinkedIn
• ** This position may be located anywhere in the United States. Employee may work remote, work from home. This role offers analytically-minded candidates the opportunity to be part of one of T-Mobile's fastest-growing divisions-T-Mobile For Business-and create real impact. As Sr. Data Scientist, you will partner with both functional and technical teams and outside partners to collaborate, test hypotheses, build proofs of concept, and turn data into information. You will use various tools such as R, python, AzureML and PowerBI to explore data, build and evaluate models, and visualize the results to tell the story to your business partners. This role reports to the Senior Manager of Analytics. The Senior Data Scientist is a knowledgeable leader who is passionate about data modeling, forecasting, optimization, and possesses a strong vision of how data science and engineering can create value for our customers and for the company. To be successful in this role, you will need inherent... curiosity and the ability to think cross-functionally. You should be able to dissect complex problems, utilize facts/data to derive conclusions, and deliver clear recommendations through storytelling. Examples of work include forecasting product and sales performance, identifying key drives of performance and customer adoption, estimating market penetration, evaluating business cases for new initiatives, and identifying and understanding impacts of macro trends. Responsibilities • Perform ad hoc data mining, exploration, and statistical analyses on complex business problems • Drive the process of getting from problem statement to recommendation: break down problem and develop analysis framework; identify, procure, and explore relevant data; construct models as appropriate to analyze data and derive insights • Create executive-level presentations and present complex analytical findings in a clear, concise and decision-impacting manner through effective visualizations and storytelling • Lead the implementation, assessment, and standardization of toolkits for data science, insight management, and visualizations • Research and work with Data Engineering and Platform Architecture teams to implement new and emerging technologies that will facilitate better data integrity, reliability, and enrichment for quantitative solutions • Develop and maintain positive working relationships with partner teams in a collaborative team environment • Coach and mentor analysts on the team Qualifications • Master's degree in a quantitative discipline and 5 years of data science/business analytics experience • Strong understanding of statistical concepts, data modelling techniques and tools • Extensive experience in data acquisition and manipulation/massaging/munging from transactional systems, data warehouses, and various third-party sources (e.g., web, Google, US Census, D&B, etc.) • High level of statistical modeling proficiency and proven experience in data analysis • Proficient in data visualization for effective communication • Excellent storytelling and communication skills-written and oral-with good executive-level presence • Good business acumen with broad exposure to multiple functional areas • Talent for multi-tasking, prioritizing objectives, and meeting deadlines Desired Education • Master's degree with quantitative concentration (Computer/Data Science, Economics, Statistics, Analytic Finance) required Minimum Qualifications • At least 18 years of age.• Legally authorized to work in the United States.• High School Diploma or GED.• Pre-employment background screen. Company Profile As America's Un-carrier, T-Mobile USA, Inc. (NASDAQ: "TMUS") is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The company's advanced nationwide 4G and 4G LTE network delivers outstanding wireless experiences for customers who are unwilling to compromise on quality and value. Based in Bellevue, Washington, T-Mobile USA. Inc. provides services through its subsidiaries and operates its flagship brands, T-Mobile and Metro by T-Mobile. For more information, please visit http://www.t-mobile.com Applicant Privacy Policy We are committed to maintaining your trust by respecting and protecting your privacy. For more information about how T-Mobile processes the personal data of job applicants, please visit Applicant Privacy Policy. EOE Statement We Take Equal Opportunity Seriously - By Choice. T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination or harassment based upon any of these factors is wholly inconsistent with our Company values and will not be tolerated. Furthermore, such discrimination or harassment may violate federal, state, or local law
Senior Data & Applied Scientist Do you have a passion for Data and Machine Learning? Do you dream of working with customers on their most forward-looking AI initiatives? Does the challenge of developing modern machine learning solutions to solve real-world business problems in the cloud sound exciting to you? You may be the Senior Data & Applied Scientist we have been looking for! The Commercial Software Engineering (CSE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges and transform their industries using cloud-based solutions. We work in collaboration with Microsoft product teams, partners and open source communities—to empower our customers to do more with the cloud. We pride ourselves on making contributions to open source and make our platforms easier to adopt. You will be delivering high-impact engineering projects using both open-source and Microsoft technologies, in... a community model within our team, and partnering with other engineering and product teams at Microsoft to align the work with our customers’ project goals. You will be working side by side with customers and their developers to build innovative solutions to solve exciting business problems and collaborating with the Microsoft product teams to improve our products, ultimately to make it easier for developers to use Microsoft platforms. Responsibilities Responsibilities • Developing and deploying solutions with some of Microsoft’s largest customers for solving business problems using machine (deep) learning and predictive modeling techniques. • End-to-end execution of the data science process: from understanding business requirements, data discovery and extraction, model development and evaluation, to production pipeline implementation. • Providing technical subject matter expertise in OSS and Microsoft AI and Data technologies, ranging from helping our product teams understand our gaps, through to navigating our customers to the right technology choices for their business. Qualifications Qualifications Required Qualifications: • 2+ years of real-world experience with machine learning algorithms for classification, regression, clustering, reinforcement learning, dimensionality reduction with expertise one or more application domains of NLP, image processing, time series analysis including some knowledge of the concepts of taking projects to scale in the cloud. • Fluency in English Preferred Qualifications: • Skilled in Python, experience with Pandas, Scikit-learn. • Experience with agile development practices and Git version control. • Experience with one or more of the DNN frameworks like TensorFlow, PyTorch, Chainer. • Experience with Spark, SQL, Graph stores, or NoSQL stores. • Domain expertise in one or more of financial services, retail, marketing, health care, manufacturing. • Ability to communicate in business and technical settings. • Enjoy travel and comfortable with regional travel up to 20% • MS or PhD in Computer Science, EE, Statistics, Operations Research or equivalent technical field. At Microsoft we are seeking people who have a passion for the positive impact technology can have on the communities and for making a difference in the world. Within CSE, we have an informal and flexible work environment and you’ll be welcome to work from home, our offices, customer sites– wherever is best for you to get your job done. We invest in your health, wellness and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you. CSE-FY20 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work
Job Title: eCommerce Data Scientist Apply Print Location: Remote/Sunnyvale CA,Remote Required Skills: ecommerce, data mining, machine learning, Python, bigdata, SQL, Java/JavaScript, Unix/Linux Job Description: Phone and Video Interviews needed. The key here is that the candidates have an ecommerce background! Position Description We are looking for a passionate, creative data scientist professional to join Data Science team. You will have the unique opportunity to work with massive business and social data generated by unparalleled online and offline commerce. You will be responsible to use cutting-edge machine learning, data mining, and optimization techniques to design and prototype robust, scalable predictive models and analytics solutions. You will be a part of a cross-functional team of scientists, engineers, product managers, and business professionals that sit at the intersection of data science, big data, IT infrastructure, and business... operations. Responsibilities • Perform hands-on data exploration, processing, and analysis on massive data sets. • Use machine learning, deep learning and data mining techniques to develop robust predictive models in areas such as seller risk management, fake rating & review detection, account linking, and anomaly detection. • Pull data from warehouse, perform feature engineering, back-test models, compare model performances and communicate the results to stakeholders. • Research and develop state-of-the-art algorithms that address complex business problems. Minimum Qualifications • Technical expertise in data mining, machine learning, and statistical analysis. • Proficient in machine learning and data mining packages in Python. • Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark). • Programming skills in one of the following languages: SQL, Java, or JavaScript on a UNIX or Linux platform. • Advanced degree (Master or PhD) in any STEM field plus two years of related experience. • Ability to work in a fast-paced, iterative development environment. • Good communication skills, ability to work with cross functional teams of technical and non-technical members. Additional Preferred Qualifications • 2+ years seller risk management experience
What will you be doing?: Building solutions to give time back to analysts to perform analytics giving them more relevant and accurate data from the various data sources they may not be aware of while maintaining referenceable data provenance. Research and develop categorization, correlation, and learning models for data analysis and data discovery Collaborate with customers and stakeholders to devise possible solutions for data sharing environments Keep up-to-date with the latest technology trends, communicating results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Support synergizing data solutions with IT requirements management products for new initiatives to include data modeling Communicate and coordinate with program stakeholders The Company: We opened our doors in 2003 and have developed long-standing relationships with our customers, both public and private We’re an SBA 8(a... and CVE certified Service Disabled Veteran Owned Small Business We’re ISO 27001:2013, ISO 20000-1:2011, and ISO 9001:2015 certified and have CMMI DEV and SVC ML3 ratings We’ve been named part of: Inc 5000’s Fastest Growing Private Companies in 2016; Washington Business Journal’s Fastest Growing Companies in 2015, 2016 and 2017; Washington Business Journal’s Best Places to Work in 2015, 2016 and 2017 The Employer: We offer great benefits - Paid Time Off, Medical, Dental and Vision Insurance, 401(k) with company matching We invest in our employees – We offer an annual training budget to our employees and opportunities for growth within the organization We work hard, we play hard – We value work/life balance. We hold seasonal company events and a Washington Nationals Season Tickets lottery Required: 7+ years of relevant experience Experience in theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization. Experience developing in languages commonly used for data analysis such as Python, R, Julia, or SAS Experience working with databases such as SQL or MongoDB. Experience working with large-scale data sets. Experience producing data visualizations for a variety of different audiences. Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non- technical audiences. Clearance Requirements: Must have an active Secret clearance
Dit ga je bij ons doen As a Senior Data Scientist at Albert Heijn, you are part of the ambitious Data Science team within our Strategy & Analytics department where we work close together with Digital, Commerce and Operations but also outside our department with Store, Commerce, eCommerce and Supply Chain. You will play a crucial role in the strategy and impact with our data. Next to that, you will be leading our biggest projects on high impact use cases such as dynamic markdown, promo forecasting and recommendations both for the offline and online world of Albert Heijn. Together with the team of data engineers, business stakeholders and IT you improve numerous processes and the experience of millions of customers every single day. Within our team of +/- 25 data scientist and data engineers, we are thrilled to work with the rich amount of any Albert Heijn data you can think of. Our data scientists and engineers have different background and nationalities, which we think is... important. We are passionned, enthusiastic and don’t mind to make our hands dirty, but most importantly: we will never stop evolving and learning. As a Senior Data Scientist at Albert Heijn you will make impact by: • Have a leading role in building models and algorithms specifically for our use-cases • Code and test, but also put our algorithms into production • Use your experience and knowledge to mature our Data Science team and perfectionize our agile way of working • Coach and mentor your colleagues • Help shape thought leadership throughout Albert Heijn on AI/ML opportunities • Forecasts, classify and recommend to get the most out of our data Jouw nieuwe werkplek As Senior Data Scientist you work at Albert Heijn, part of Ahold Delhaize. Albert Heijn is the number one food retailer in the Netherlands. We’ve been inspiring customers and building trust for more than 130 years. We like to say, “we’re always there for you.” And with more than 1000 stores in the Netherlands and Belgium and 24/7 shopping on ah.nl, it’s truer than ever! But now we want to take our business to the next level. By making better food accessible to everyone – and making shopping fit the way people live today. By joining our team, you will be part of AH Technology, where you can make your mark on the daily lives of millions of people. AH Technology is a community for our Data, Digital and Tech departments. At AH Technology, our smart professionals are creating digital solutions that make (online) shopping simpler and more inspiring. Constantly rethinking the way people shop, pay and even enjoy food. That’s why we’re investing heavily in data, tech and digital. To further transform Albert Heijn into a leading food tech company. Are you wondering whom to co-work with? At AH Technology you work with other smart professionals in an open environment, where expertise is valued, where we learn from each other and have the freedom to create innovative solutions and make a real impact. As Senior Data Scientist you are part of the Strategy & Analytics department. Your colleagues will be other engineers and scientists, with a background in AI, Computer Engineering, Econometrics, Psychology or just data-savvy people. Together with them, you play an important role in creating impact through advanced data analysis. Next to this, other departments at Albert Heijn, our shops, supply chain and real estate play a key role as your stakeholders. Wat je krijgt At AH Technology we want to grow. That is only possible if you grow with us. That is why you get access to best in class guidance and inspiring training, to shape your own development and career. As we work together to build on our brand as well as your career, you can count on (based on 40 hours per week): • a competitive salary • flexible working hours and the possibility to work from home • a very good pension plan with a personal contribution of 5.3% • a travel allowance for traveling to and from Zaandam • 20 vacation days • A budget choice which you can decide whether you spend it on extra days (+12,5 days), discounts or pay-outs • courses from our Albert Heijn Data Academy • a bonus on top of your salary • attractive discounts on various insurance policies • a laptop and telephone • 10% discount on your grocery shopping in our Albert Heijn stores, up to € 300 per year • regularly fun promotions and delicious tastings with free products Dit breng je mee At AH Technology you’ll be working for one of the biggest retailers in the world. You are bursting with ambition to keep up with us. You supplement this ambition with:  • Master in Data Science, Econometrics, Computer Science or other relevant studies. If no relevant study, demonstrably relevant experience and interest • Minimal of 5 years of experience as data scientist • You like to coach and educate your colleagues. Furthermore, you can explain complex matter in an easy way and enthusiasm business stakeholders • Advanced experience in Python or other programming language, experience in Microsoft Azure Databricks and visualization tools are a big plus • Based in The Netherlands Solliciteer en kom binnen Do you want to play an active role in changing the food retail landscape as we know it? Then hop in and join us on our expedition. Apply now via the button on this page. In addition, we would like to ask you not to send a standard motivation letter, but to formulate an answer to the following questions: • Why would you like to work for Albert Heijn? • Why do you think you will be successful in this position and what kind of technical skills do you bring with you for this role? • What is one of your personal strengths and one skill you wish to improve or develop? • Last but not least: what are your salary expectations? Want to learn more first, before you apply to AH Technology? Maureen Ensink, Talent Acquisition Partner Data Science & Analytics is happy to tell you everything about this vacancy via [email protected]
At ConvaTec, our vision is to develop pioneering trusted medical solutions to improve the lives we touch. We are a global medical technology business focused on serving people and care givers in the areas of advanced wound care, ostomy care, continence and critical care and infusion care. We devise, develop and manufacture innovative products and services that support people with deeply personal and challenging medical conditions, helping to improve care for them and giving them greater confidence, freedom and mobility. We are guided by our five core values, that shape the way we work, every day: Improve Care, Deliver Results, Grow Together, Own It and Do What’s Right. We are a global Group, with over 9,000 employees and in 2019, our Group generated revenues of over $1.827 billion. To learn more about ConvaTec, please visit www.convatecgroup.com. Job Summary The Data Scientist will be a key member of Convatec’s Transformation Office. The Transformation Office is responsible for... orchestrating Convatec’s global corporate transformation and reports into the Chief Transformation Officer. The Data Scientist will report directly to the Vice President, Business Transformation. You will leverage expertise in advanced statistical and modelling techniques to design and build next generation analytics engines, algorithms and models for the Transformation Office – with the goal of delivering more value in the Convatec Transformation. Working closely with all members of the Transformation Office, you will be generating actionable business insights for our Transformation effort – leveraging a database that currently captures all of Convatec’s Transformation initiatives – including their plans, business cases, KPIs, headcount, project performance and pipelines of new projects and potential initiatives. On top of this, you will be helping the Transformation Office to utilize data for smart decision-making. Partnering with leaders across the Transformation (all business units, all regions and all functions), you will be developing action plans and “data science-based” interventions based on those business insights – that ultimately lead to significant business performance improvement. Duties And Responsibilities • Develops and owns a process that will manage all predictive analytics activities across the Transformation – from idea through to actual intervention in the business • Develops and owns a Transformation data science strategy and implementation “roadmap” that leads to new and improved statistical and predictive models and algorithms that will benefit the Transformation • Researches and benchmarks internal and external best practices with respect to applying data science to Transformation; then works with peers in the Transformation Office to convert these learnings into new programs and opportunities • The opportunity to lead the implementation of projects • Tests business hypotheses from leaders across the Transformation to assess whether those hypotheses can be converted into specific actions • Communicates complex technical concepts and analytical and statistical models and outputs to non-technical stakeholders across the business • Solves non-routine business problems by applying advanced methods – including AI, machine learning, advanced statistics, natural language processing, etc • Builds broader analytics and data science capabilities within Convatec’s Transformation “community” We will be looking for the following in our successful candidate : • enjoy working in agile environments, in diverse teams and with multiple stakeholders • excel at problem solve complex problems and break them down into simpler parts • effectively communicate complex analytical and technical content to others • engage and build strong relationships across the team and wider business • leverage their strong entrepreneurial drive to test new “out of the box” techniques and approaches • be able to prioritise work and adopt an agile and iterative approach • use their experience in project management to deliver effectively Education/Experience/Qualifications • Equivalent of Bachelor’s degree in Computer Science, Statistics, Mathematics, Operations Research or a related field AND 5+ years of experience • Preferred but not required: Masters Degree • Experience in relevant computing languages such as R, Python, Scala or C++ • Experience of deep analytical problem solving in business environments • Practical experience in developing advanced statistical and machine learning models • Fluency in written and spoken English Although not essential, experience in the following would also be an added bonus: • Working within the medical technology industry • working with large database systems Working Conditions Office-based environment with some travel # LI-DB1 ConvaTec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law. Notice to Agency and Search Firm Representatives: ConvaTec is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any ConvaTec employee by a third party agency and/or search firm without a valid written and signed search agreement, will become the sole property of ConvaTec. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you. If you are an active employee at ConvaTec, please do not apply here. Go to the Career Worklet on your Workday home page and View "ConvaTec Internal Career Site - Find Jobs". Thank you
• *Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.** At Hypergiant, our work is driven by individuals pushing the boundary and always professionally challenging our clients to think differently. We’re seeking individuals who are both analytical and creative and can help us fuel our motto: Tomorrowing Today. We have an opportunity to support critical national security priorities in the Department of Defense (DoD) and across the federal government. We are putting together a world-class team of Machine Learning and AI practitioners and are seeking a stellar Data Scientist to join our movement. At Hypergiant, you will enjoy a unique opportunity to use your creativity both to pursue fundamental research and to apply cutting-edge techniques within applied projects. You’ll work closely with our customer to understand their business problem priorities and then dig into their data-rich... environment to create value. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Responsibilities • Design, build and optimize data-driven models using machine learning and analytical techniques. • Collect, clean, and regularize data using industry best practices, and apply and recommend Hypergiant data quality standards. • Conceive and create insightful visualizations of data and models. • Collaborate with engineers to deploy models into production. • Document and present model plans and results, workflows, best practices, and recommendations. • Ability to develop and maintain comprehensive data model documentation including data dictionaries, source to target mappings. Qualifications • 3+ years of experience as a Data Scientist. • You have an active security clearance. • Ability to carry out complex projects in data science and data engineering with minimal supervision. • Demonstrated aptitude in designing and implementing data driven models using machine learning techniques such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks. • Fluency in a statistical programming language such as Python or R. • Proven creative problem-solving skills. • Strong written and verbal communication skills; ability to effectively communicate results to both technical and non-technical audiences. • A Bachelor's degree in Data Science or Data Science equivalent such as Computer Science, Mathematics, Engineering. Preferred Qualifications • Experience with DoD information systems. • Knowledge of secure information systems architecture design and implementation principles. • Currently possess or can obtain a top secret clearance Hypergiant, LLC is an equal opportunity employer. We welcome and encourage diversity in the workplace. We offer a generous benefits package, including company contribution to medical benefits. We offer unlimited PTO. In addition, we offer a fun, flexible work environment, company-sponsored activities, and commit to providing each employee with job satisfaction by addressing core needs. Learn more at hypergiant.com

Data Scientist

The Democratic National Committee


16 days ago
The DNC Coordinated Campaign is seeking a Data Scientist to develop advanced analytics solutions to support and guide the outreach efforts of Democrats across the country. This person will combine statistical and programming skills, along with domain knowledge to create predictive models and other statistical tools and methodologies. The Data Scientist will work collaboratively with other members of the analytics team, along with digital, paid media, finance, organizing, and other campaign departments. We are looking for folks with a variety of backgrounds and experiences, and are dedicated to building a team that looks like America. The Data Scientist reports to the Data Science Lead. Key Responsibilities • Create predictive models of voter and supporter behavior. • Prepare and analyze datasets to extract meaningful campaign insights. • Employ supervised and unsupervised learning techniques, along with other statistical methods, to solve complex optimization problems. • Contribute... to testing and experimentation design, infrastructure, and implementation. • Contribute to broader methodological standards across analytics team. • Collaborate with analysts, data scientists, and engineers to produce deliverables. Minimum Skills & Qualifications • 2-4+ years of experience applying data and advanced analytics tools in a commercial, political, or non-profit setting, or equivalent academic experience (such as a postgraduate degree in a quantitative field). • Fluency in Python or R • Familiarity with executing all components of predictive modeling, including data collection and cleaning, model building using regression and other machine learning techniques, and model validation. • Ability to communicate technical concepts to a non-technical audience, both in writing and verbally. Preferred Skills & Qualifications • Experience manipulating data in SQL. • Knowledge of experimental design and causal inference. • Experience volunteering or working on a political campaign data team, in polling, or with the Voter File The Democratic National Committee (DNC), is committed to diversity among its staff, and recognizes that its continued success requires the highest commitment to obtaining and retaining a diverse staff that provides the best quality services to supporters and constituents. The DNC is an equal opportunity employer and it is our policy to recruit, hire, train, promote and administer any and all personnel actions without regard to sex, race, age, color, creed, national origin, religion, economic status, sexual orientation, veteran status, gender identity or expression, ethnic identity or disability, or any other legally protected basis. The DNC is committed to providing reasonable accommodations to individuals with disabilities in the hiring process and on the job, as required by applicable law. The DNC will not tolerate any unlawful discrimination and any such conduct is strictly prohibited
About ClimateAi ClimateAi is on a mission to accelerate resilience in food, water, and energy. The company has launched the first of its kind Resilience-as-a-Service platform in agriculture and forestry to help farmers and agriculture supply chains adapt to climate change. ClimateAi was founded at Stanford University and one of the founders has worked with Vice President Al Gore. We are a fast-growing company looking for passionate engineers or scientists who can contribute to the solutions for the most important issue of our generation. We have an opening for a senior data scientist to work at the intersection of environmental modeling, climate change, and machine learning. Any and all referrals would be greatly appreciated and rewarded with a $1000 referral bonus if successful. About the Role The candidate will work on running and developing systems for analyzing impacts of climate variability on farming and forestry supply chains. We process multiple data streams including... climate data, satellite imagery, soil data, hydrological and geographical information; familiarity with a wide range of pre-processing techniques is a plus. Your responsibilities will include maintaining and producing results from operational modeling frameworks as well as designing, testing, and deploying new data product prototypes with special emphasis on clear communication, crisp data visualization and rapid iteration. The ideal candidate will be comfortable working on open-ended projects with a small team in a fast-paced environment. We hire people who are collaborative, adaptable, and communicate well. You will be working closely with other data scientists, software engineers, and product managers to improve and create superior products. Expect to give and receive constructive criticism as we foster a highly dynamic, fast-paced, collaborative work environment focused on rapid learning and adaptation. While we are interested in all qualified applicants, the position is well suited for someone with 3+ years of work experience post BS/MS or 1+ years of experience post Ph.D. Preferred Qualifications: • BS/MS/Ph.D. in computer science, data science, statistics, applied math (strong CS experience) • Interest in atmospheric science, earth science, hydrology, oceanography, or similar • Strong proficiency in vectorization with NumPy, xarray, and pandas • Experience with deep learning architectures applied to geospatial data and/or time-series data. • Experience communicating science methods and results to a non-technical audience • Experience writing code for data management, analysis, and visualization, especially in Python. • Experience working on software projects with a team: communication, management, issue tracking, and version control Most importantly, candidate must have a passion for working on tackling issues at the cutting edge of climate change adaptation and resilience. How to apply: Submit a resume, list of relevant publications, and names of at least 2 references to [email protected] by 5 p.m. on July 15th, 2020. Include links to any personal web pages, LinkedIn, Github, or similar. If you were referred to this position by someone, please include their name and email in your application
Job Ad Support the application of analytical techniques of management to help VF businesses (Vans, The North Face, Timberland, Wrangler, and Lee) to make informed decisions and deliver against critical business objectives. Utilize advanced analytics to help VF identify growth opportunities and operate across the organization to help drive VF’s strategic advantage in consumer understanding through in-depth analysis of structured and unstructured data. Apply concepts of consumer cognitive and behavior science to help the brand understand its consumers behavior from physiological as well as behavior perspective, creating detailed consumer analytics project plans. Use statistical modeling such as negative binominal distribution modeling, and machine learning algorithms such as K means clustering to draw insights from various consumer dataset including finding patterns, identifying trends, revealing affinity groups, predicting purchase propensities, in order to make informed decisions on... innovation, future products, marketing programs and brand strategy. Monday – Friday, 40 hours per week, 9:00 am – 5:00 pm. Minimum Requirements: Master’s degree in Textiles, Textile Technology and Management, Mathematics, Statistics, Economics, Data Science, or a related specialized, quantitative field. Education or experience must include the following: • Utilizing modeling and analytical tools, including Google Analytics, NPD and Check-out tracker • Utilize web, mobile and brick and mortar data to understand drivers of performance • Utilize search and web behaviors and their impact on branded retail performance (e.g., traffic) • Analyze consumer behavior, growth and value pools for revenue opportunities • Analyze and interpret statistical data and leverage consumer data analytics to inform the strategies • Evaluate statistical methods and procedures and create predictive algorithms including time series modeling • Design research projects that apply valid scientific techniques and use information to quantify the impact Up to 20% travel required. Telecommuting permitted. TO APPLY: Go to vfc.com/careers
Longevity InTime Biotech LLC (Delaware, USA) is associated with the interaction of technology with humans, "we help the code to help people"! We will be glad if you help us to launch AntiCoronaVirus online tracker based on our MVP 1.0 (AntiObesity) and help the current team not to delay launching MVP with version 2.0, which will fight Stroke & Heart attack. We continue to assemble an international team and recently released the first version of MVP, according to the brief description of the product (in the link below). The terms indicated in the brief are given for guidance and may vary depending on the competencies recruited by new team members. We want to build something special with small steps, which we can be proud of. We believe that we can, by making an online tracker, catch diseases at the stages where no one has caught them yet and give recommendations on how to avoid these diseases. Scientists have proven that any disease can be avoided by catching it long before the time... of the disease. We believe that in doing so we will increase life by an average of 20 years. We can be useful to each other if you are satisfied with our form of payment - a share in the authorized capital of our company for part-time work in your free time. We evaluate in money and what will be the result, we fix in an agreement where it will be clearly written that if the output is what you agreed on and +/- meet the deadlines, then your share is yours, if there are significant deviations from the results and deadlines ( we will write in the contract), then the share either does not transfer or is much smaller, but with the right to return to the original size, if you correct the situation or bring something significant to the company (speed up the next stage of development, etc.). Our team believes that this scheme of work is not free, but rather paid at times more than the current real cost of your costs, because by the time of the sale of part of the share, the share will increase. Why is our company considered less risky than another - because we are in a biotechnological trend, in the trend of distance medicine and in the trend of the market of goods and services aimed at prolonging an active life of a person. How many such companies do you know? We convert this to a fraction based on the assumption that the company is now worth $ 34.1 million. The assessment is determined by the progress of the company on the current date, the assessment of external consultants and potential investors, transactions with the current team of 25 IT developers, 7 shareholders, 10 experts and, of course, the inherent potential. We are the first startup in the world with so many like-minded people working for the end result without traditional salaries in the field of biotechnology. The whole team believes in what we are building, so it invests its time and part of its life in a product created by our own hands. Team, experts are from 11 countries and speak 6 languages. We already have a development team with these competencies, but we want to strengthen it: mobile and backend developers with a must: Django 2+ years, Django REST framework, Python 3.7, PostgreSQL, MySQL, RabbitMQ, Nginx. Would be a plus: Gunicorn, Vue/React JS, GCP Pub/Sub, GCP Compute Engine, GCP Functions Also need help with the design and development of UI / UX design. We are looking for team leads. iOS development team we want to add specialists with the knowledge of Swift, RxSwift, MVC/MVVM, AutoLayout+IB, Codable to correct / upgrade UI, to write modules in RIBs architecture, work with data modules coding from backend Moya -> Codable -> CollectionView/TableView The back office needs technical and business analysts, marketing managers, SMM specialists, sales, lawyers - in general, we are completing the formation of the team in the next week, we are considering candidates who are ready to study if we have not yet managed to get used to something. We pay special attention to the development of Data Science, Big Data, ML, AI, Data Mining, Computer Vision, and the applicants with knowledge in the fields of medicine, biology, chemistry and physics. We are looking for specialists in hardware (wearable electronics) and RDT (rapid diagnostic testing). Our stage today: PoC (proof of concept), finished MVP AntiObesity (14 parameters), development of AntiCoronaVirus (14 parameters) Tech Stack & Our nearest development plan, which will be completed soon: 1) Custom Usermodel; 2) Pages for website (incl. Dashboard, Login / Logout,Register) 3) CMS / Admin panel. 4) DataBase for health parameters. 5) Upgrading MVP for obesity 6) The development of an algorithm that creates a private forecast of the life span of a specific person based on an array of data (marked up information) according to the dependence of certain diseases on specific parameter indicators (analyzes and other bio-dates) of a particular person. 7) Upgrading MVP AntiCoronaVirus. Longevity InTime BioTech focuses on Biotechnology, Machine Learning, Big Data, and Artificial Intelligence. Their company has offices in Wilmington. They have a mid-size team that's between 51-200 employees. You can view their website at https://www.intime.digital
Our client’s mission is to make the highest quality healthcare available to everyone. We’re building a diagnostic engine that learns from and empowers the world’s most accurate radiologists–but enabling diagnosticians is just the beginning. Through our end-to-end workflow, we’re working to improve the quality and efficiency of the entire episode of care, simplifying the process of medicine and allowing doctors to focus on patients. We are interdisciplinary thinkers who are passionate about technology and medicine and believe in the power of technology to protect and preserve human life. We’re in stealth mode and hiring! Medical product data scientists leverage our varied data feeds to quantify, measure and improve efficiency, quality and value in radiological medicine. These data feeds may include natural language, radiological images, application user data, patient outcomes, and billing and insurance information. Example projects range from optimizing radiologist efficiency by... understanding user behavior in our applications to uncovering relationships between pathologies implicit in radiology report data. Requirements: • Advanced degree in a quantitative discipline, or equivalent experience • Experience leveraging user data to optimize product features and data science models • Expert-level statistics and machine learning • Fluency with Python • Track record building and productionizing models in an industry setting Skills: • PhD in a related field or equivalent work experience • Experience working with medical and/or radiological data and biomedical ontologies • Understanding of modern NLP techniques and applications • Understanding of modern computer vision techniques and applications Responsibilities: • Work on challenging fundamental data science problems in the medical domain • Extract behavioral, process and medical insights from messy multimodal data • Define efficiency, quality and value metrics as they relate to our various data feeds and the practice of radiology • Leverage metrics to continually optimize data science modelsPublish results in academic journals and represent the company at academic and industry association meetings • Develop a scalable A/B testing framework and process for evaluating changes to the user experience and features • Drive the collection and curation of new data and the refinement of existing data sources • Be a thought leader in value-driven medicine Benefits: • Stock • Competitive salaries • Paid time off • Medical insurance • 401(k) • Apple equipment • Dedicated research computing resources • Catered lunches and team events • Sponsorship for conferences If interested in hearing more, please let me know
In 2020, we are pursuing our ambitions to continue to enable organizations' digital transformation. We are looking for our new Insights Data Scientist to join Axway's family. Are you ready? Join us now!!! Together we can. Together we will. Axway is an enterprise integration company that's been around for over 20 years to digitally transform enterprises of all sizes - more than 11,000 in 100 countries at last count. Axway revitalizes heritage IT infrastructures to enable brilliant digital customer experiences, unlock new business innovation and capabilities, and put companies on a secure, future-proof path for growth. You'll exchange ideas with a culturally rich global community of over 1,800 members who connect remotely or show up onsite in virtually every time zone on the planet. And you'll have the support and camaraderie of your Axway leadership and colleagues to serve as a reminder that you're not alone on your journey, and that every day, you've taken one more step forward... With Axway, you'll go far because we're better together. Learn more: www.axway.com. https://youtu.be/X-uTlLgGmS0 Does the opportunity to direct a fast-moving company by empowering it with data, reporting and analytical insight excite you? Using your business instincts, analytics mastery and creativity, you will support a market-leading business strategy from analysis through to action. If you love finding patterns amidst chaos, driving fast and informed decisions, you will be able to steer Axway with knowledge and data relationships with insights from an elite group of global customers in fast growing markets. In this role, you will work directly with the CTO team and leverage data & analytics to shape Axway’s understanding of trends in our customers. You will specifically focus on insights that help accelerate our customer's journey from on-prem to cloud but also from business of past to a hyper accelerated new digital norm. You'll be the key partner to our innovation and incubation team and to our product and marketing leaders, helping them gain deeper insight into our business and help direct our future. For this role, Axway is seeking an experienced, creative, and driven data scientist who can harness distributed data from many sources, apply subject matter knowledge to identify trends in our customers and markets to drive opportunities for growth and to solve complex business issues. Are you regarded as a subject matter expert? You will be expected through data and business acumen to frequently contribute to the development of new ideas and methods to drive the future of Axway. You will work on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. You will provide expertise and insights to functional project teams and will participate in cross-functional initiatives. You will need to exercise significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives. Responsibilities • Leads complex data and business analyses from many data sources to develop insights into customer use of technology, customer trends to feed into business product canvas with high level business plans to recommend areas for Axway investments. • Serves as lead data scientist on a team working as • Observer of the market, competitors, customers, partners, users, trends and technology. Synthesis of the observations to ideas and opportunities. • Oriented toward innovation that creates meaningful value and growth for existing customers. This innovation sets the stage for new entry points for non-Axway customers and partners. • Decisive in our march toward initiatives that can drive new revenue >10% of Axway revenue • Action based on the smallest test to determine next steps. Embrace the unfolding interaction with the environment, customer, and technology • Works independently to construct highly complex models for innovation as business opportunities for Axway;coaches others on model development. • Establishes the metrics required to measure business performance and develops the process for identifying and addressing performance gaps. • Manages complex, time- sensitive market research projects and prepares synthesized intelligence reports with clear implications. • Leads cross-functional teams across the entire span of business planning activities. • Contributes to priority projects by adding creative insights and developing recommendations. • Partners with business leaders to develop business plans and proactively identify new opportunities. • Develops go-forward business plan recommendations based on potential risks and returns. • Identifies cutting-edge analytical tools, models, and methods for making key business decisions. Qualifications • 6+years of relevant work experience in strategy, planning, operations, finance, or related functional area. • Advanced university degree (e.g., MBA) or demonstrable equivalent is required. • Exceptional project management skills, including leading large, cross-functional initiatives. • Strong relationship management skills, including partnering and consulting. • Developed leadership skills, including team building, conflict resolution, and management. • Extensive knowledge of research methodology for key business issues. • Excellent analytical thinking, technical analysis, and data manipulation skills. • Demonstrated ability to collect and organize data, work effectively with complex relational databasesand software or SaaS services, conduct analysis, report on, and apply results to actionable insights/recommendations. • Ability to leverage new analytical techniques to develop creative approaches to business analysis. • Ability to identify emerging trends from market and industry data. • Ability to apply advanced statistical methodologies such as mixed model (random and fixed effects), simultaneous equations, time series-based methods (ARIMA, Causal Autoregressive Mixed Models), neural networks, and multinomial discrete choice. Experience developing and implementing machine learning techniques in real time (e.g. API, PMML, Java, C, RPMML). • Advanced hands on experience in Statistical Software (e.g. SAS, R, Python) and big data environments (e.g. cloud (e.g. AWS, Azure), and on-prem (e.g. Hadoop). • Ability to comprehend and apply principles of advanced calculus, machine learning and advanced other statistical theory. • Solid data modeling experience is required with proven application in applying Decision Trees, Regression analysis, Neural Network and other data mining techniques, experience with time series and experimental design. Axway is an EEO and AA Employer
IMMEDIATE NEED FOR A DATA SCIENTIST / MACHINE LEARNING The Data Scientist/Machine Learning, as part of Health IQ's Business Intelligences team, uses predictive analytics and innovative machine learning models to create value from data. This role is at the heart of finding and proving innovative solutions and is responsible for developing and driving strategic modeling initiatives. As a Data Scientist/Machine Learning, you will help design and develop inventive solutions to drive innovation and delivery of organizational value. You'll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You'll work in a highly collaborative and team environment creating impactful data science solutions across the organization. Responsibilities: • Contribute to the design and analysis of core Health IQ products and services • Communicate complex quantitative analyses in a clear, precise, and actionable manner to the CAO while... building relationships with peers and partners • Collaborate with business leaders to understand business opportunities and formulate analytical solutions for problem-solving; working alongside other analytic individuals and team • Design innovative algorithms and machine-learning approaches for handling some of the most challenging and interesting datasets in today's insurance industry • Deliver clean, reusable, and scalable code • Work closely with Data & Engineering to deploy models Qualifications: • BS/MS/Ph.D. in Computer Science, Math, Statistics, Economics or in any technical field that provides a solid basis for analytics • 2+ years of experience in data science, statistics, computer science, or mathematics where you designed, developed, evaluated, and deployed predictive modeling, machine learning, and advanced analytics • Extensive experience solving analytical problems using quantitative and qualitative approaches • Experience with state-of-the-art techniques in machine learning algorithms, including deep neural networks, NLP, dimensionality reduction, ensemble methods, graph algorithms • Excellent communication skills and experience in working with stakeholders • Strong prioritization skills, while being dynamic and agile Join the Health Conscious Workplace of the Future To make the world a healthier place, we started in our own backyard. We created a health-conscious environment that allows each of our employees to reach their own personal health goals. Below are a few of the employee-led programs that make working at Health IQ truly unique. 1. Nutritionally Supportive Environment Anyone who has tried to stay healthy knows it's hard to stick to your particular nutritional goals throughout the day with soda, chips, and sugary treats all around you. So we provide our employees with quality food and snack options, like a limitless supply of organic nuts, fruits, and veggies instead. 2. Healthy Environment Instead of the usual ping pong table, we've dedicated space for our employees to enjoy yoga, spin bikes, exercise equipment, and other wellness activities. We believe a healthy body is at the core of a healthy mind, so whether it's time for a walk, using the exercise equipment, or daily meditation, we make it easy. 3. Casual Office Attire Ever dream of coming to work in your casual fitness attire? Well, that's how we roll at Health IQ! Be comfortable and let your fitness fashion shine! 4. Like-Minded Coworkers At the end of the day, we are a business-minded insurance company and we use analytics to measure our success and drive our business. Coming to work and working hard however is much more fun when you are surrounded by like-minded people who are motivated by the same personal goals as you. Our employees are making friends that will last a lifetime. 5. Motivate and Compete Many of our employees are current or former athletes who are competitive and like to win. They motivate each other to do their personal best every day, and together we win as a team and as a company! 6. Excellent benefits We pay 100% of our employees' costs toward medical, dental and vision insurance. Are You Ready to Join The Movement? Health IQ is the internet's fastest growing online Insurance Company in the US. In the last few years, we've gone from 0 to $24B in coverage, 0 to 230 employees, 0 to $139MM in venture capital raised. Why is our product selling so fast? We have a data advantage. Health IQ spent 6+ years gathering the science and the proprietary data from our popular Health IQ test (taken 10.2 million times) to convince insurance carriers to give lower rates on life insurance for vegans, marathoners, triathletes, well-controlled diabetics, yogis, Crossfitters, and more. These special rates are exclusive to us saving consumers thousands of dollars each and rewarding them for living a healthy lifestyle. Hyper-growth means hyper opportunity for employees! While many companies hire managers externally or use a tenure system, we pride ourselves on our cultural value of meritocracy. This means that as we grow and new positions are created, we look to promote our top performers from within. Today over 80% of our managers are promoted from internal roles. Health IQ believes that everyone can make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. If you require an accommodation to complete the application or the interview process, please contact [email protected] To learn more visit https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf
This is an opportunity to join our fast-growing Risk Based Authentication team to develop cutting-edge risk-based authentication and authorization policies. We are looking for a Data Scientist to build data models and use machine learning to solve business problems in security, authentication, and identity. The ideal candidate has experience building data models from complex systems, developing enterprise grade software in an object-oriented language, and experience or knowledge in security, authentication or identity. Job Duties and Responsibilities: • Build and own forecasting models that will identify risk associated with authentication such as anomalous activity • Research new user behavior to discover patterns, find opportunities to improve detection • Partner with product team to define requirements for successful model builds • Work closely with engineering team and management to scope and plan engineering efforts • Work with Infrastructure team on tooling requirements for big... data • Test-mindset development, design and code reviews Minimum REQUIRED Knowledge, Skills, and Abilities: • 5+ years experience building data models as a Data Scientist • Skilled in building data models and using machine learning algorithms for classification and regression • Excellent grasp of software engineering fundamentals Additional Desired Knowledge, Skills, and Abilities: • 5+ years of software development experience in an object-oriented language building enterprise grade highly reliable, mission-critical software • Experience with multi-factor authentication, security, or identity Education and Training: • B.S, M.S, or PhD in computer science, data science, machine learning, information retrieval, math, or equivalent work experience Okta is an equal opportunity employer Okta is rethinking the traditional work environment, providing our employees with the flexibility to be their most creative and successful versions of themselves, no matter where they are located. We enable a flexible approach to work, meaning for roles where it makes sense, you can work from the office, or from home, regardless of where you live. Okta invests in the best technologies and provides flexible benefits and collaborative work environments/experiences, empowering employees to work productively in a setting that best and uniquely suits their needs #LI-SM1 #LI-Remote Apply nowU.S. Equal Opportunity Employment Information (Completion is voluntary) Individuals seeking employment at this company are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. 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Because a person may become disabled at any time, we are required to ask all of our employees to update their information every five years. You may voluntarily self-identify as having a disability on this form without fear of any punishment because you did not identify as having a disability earlier. How do I know if I have a disability? You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition. 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Position Description: This is an opportunity to join our fast-growing Risk Based Authentication team to develop cutting-edge risk-based authentication and authorization policies. We are looking for a Data Scientist to build data models and use machine learning to solve business problems in security, authentication, and identity. The ideal candidate has experience building data models from complex systems, developing enterprise grade software in an object-oriented language, and experience or knowledge in security, authentication or identity. Job Duties and Responsibilities: • Build and own forecasting models that will identify risk associated with authentication such as anomalous activity • Research new user behavior to discover patterns, find opportunities to improve detection • Partner with product team to define requirements for successful model builds • Work closely with engineering team and management to scope and plan engineering efforts • Work with Infrastructure team on... tooling requirements for big data • Test-mindset development, design and code reviews Minimum REQUIRED Knowledge, Skills, and Abilities: • 5+ years experience building data models as a Data Scientist • Skilled in building data models and using machine learning algorithms for classification and regression • Excellent grasp of software engineering fundamentals Additional Desired Knowledge, Skills, and Abilities: • 5+ years of software development experience in an object-oriented language building enterprise grade highly reliable, mission-critical software • Experience with multi-factor authentication, security, or identity Education and Training: • B.S, M.S, or PhD in computer science, data science, machine learning, information retrieval, math, or equivalent work experience Okta is an equal opportunity employer Okta is rethinking the traditional work environment, providing our employees with the flexibility to be their most creative and successful versions of themselves, no matter where they are located. We enable a flexible approach to work, meaning for roles where it makes sense, you can work from the office, or from home, regardless of where you live. Okta invests in the best technologies and provides flexible benefits and collaborative work environments/experiences, empowering employees to work productively in a setting that best and uniquely suits their needs #LI-SM1 #LI-Remote
Sr Data Scientist (Work from home position) American National Red Cross • Columbus, OH • Employment Type: Full Time Employee • Job type: Federal Contractor • Skill Based Partner: No • Education Level: Master’s degree • Work Days: Mon, Tue, Wed, Thu, Fri • Job Reference Code: 41974943_2 • Salary: N/A • Licenses / Certifications: N/A Job Description By joining the American Red Cross you will touch millions of lives every year and experience the greatness of the human spirit at its best. Are you ready to be part of the world’s largest humanitarian network? The American Red Cross is looking for a seasoned Sr Data Scientist to leverage existing data to develop & execute predictive models and advanced analytics to help solve complex business problems. The Sr Data Scientist will use advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. This person will also apply predictive analytics, machine learning, and optimization techniques to... generate management insights and optimize business functions. We are seeking candidates with a depth of knowledge in statistics, as well as hands-on experience building a range of predictive models using artificial intelligence and machine learning. This position will work virtually from a home/office anywhere in the USA. Responsibilities: • Utilize advanced statistical techniques to create high performing predictive models and creative analyses to address business objectives and client needs. Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions. • Work with Business SMEs to create models which predict the outcome of key business processes • Lead and contribute to data analysis and modeling projects from project or prototype design • Gathering and analyzing data, identifying key prediction/classification problems, devising solutions and building prototypes. • Follow industry trends in related data analytics processes and businesses. • Develop high-performance algorithms for predictive analytics. Testing and implementing these algorithms in scalable, product-ready code. Qualifications • Ideal candidate will possess a PhD with at least 3+ years of data science expertise; However candidates with equivalent and relevant years of experience in lieu of Post graduate Degree will be reviewed • Advanced applied statistics skills, such as distributions, statistical testing, regression, etc. • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Strong algorithmic problem solving and software development skills (R, Python, or similar) • Demonstrated capability to develop proof-of-concept prototypes for experimenting with novel algorithms • Demonstrated experience and accomplishments in the use of data mining, machine learning, and predictive analytics to address real-life problems. • Past experience in analyzing large scale data and distributed algorithms • Excellent analytical, communication (both verbal and written), interpersonal, and organizational skills. • Must be able to communicate effectively and clearly present technical approaches and findings. The American Red Cross is a diverse nonprofit organization offering its employee’s professional development and growth opportunities, a competitive salary, comprehensive benefits, and a collaborative team spirit environment. To be considered for this position, please visit to apply. The American Red Cross is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law
About the team: The Evernote Analytics team is responsible for providing data insights that inform and influence our product and business decisions. We are looking for data scientists who are passionate about using data to solve interesting or challenging problems, to shape the future of what we build at Evernote. The ideal candidate will have a background in a quantitative or technical field, will have experience working with complex data sets, and will have experience in data-driven decision making. You are intellectually curious, focused on results, and have demonstrated success in using analytics to drive the understanding, development, and success of product or marketing initiatives. This position is open to the following locations: Redwood City, CA (preferred); San Diego, CA; Bothell, WA; Austin, TX; Remote. What you will do: Apply your expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers, understand how our users interact and... engage with Evernote, and draw actionable insights Partner closely with product, engineering and marketing teams to solve problems and identify trends and opportunities Lead the definition of product and business success metrics, collaborate with working teams to ensure correct data tracking instrumentation for measurement Build reports and dashboards to monitor KPIs (Key Performance Indicators), understand drivers of KPI changes Help set up experiments, analyze and interpret results Effectively communicate insights and recommendations to stakeholders Design and implement predictive models to improve engagement, conversion, and retention Lead ongoing decisions concerning data collection, test/study design and data analyses What you have done: Bachelors or Masters in Computer Science, Statistics, Math, Finance, or other quantitative field 3+ years experience doing quantitative analysis Experience in querying and manipulating large data sets using SQL Understanding of statistics (e.g., hypothesis testing, regressions) Knowledge in experimentation methods and/or predictive modeling Ability to translate complex data into actionable insights for a non-technical audience Who you are: Strong problem solving and analytical skills Driven self-starter with good attention to detail Willingness to learn new technologies, tools and approaches to problem solving Excellent communication and presentation skills We are committed to an inclusive and diverse Evernote. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global Evernote Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.California privacy notice: Read our privacy policy for job applicants here
Job: Data ScientistReports to: Director, Data & InsightsStart Date: ASAPAt its core, DoSomething.org is a data-driven organization. Data leads every strategy and goal-setting conversation. The Data & Insights team’s job is to analyze large and rapidly evolving data sets to detect changes in our member's behavior and the global youth population. The Data Scientist’s role at DoSomething.org is to be the analytical powerhouse that fuels and informs decision making across the organization enabling us to create the most socially and civically engaged generation of young people, ever. You will deliver analyses and products that advance our understanding of drivers of growth and impact.A successful candidate will possess strong analytical and programming skills alongside a steadfast sense of curiosity, ability to communicate to technical and non-technical stakeholders and a solutions-oriented mindset. What you'll do: Data Analysis and Model Building (50%) Mine and synthesize large data sets... to enhance the organizations understanding of membership segments, propensities, outcomes and decision points.Build models and analyses that uncover the key drivers of acquisition, engagement and retention within the context of the DoSomething campaign mix and product feature development.Build statistical models to predict various outcomes of interest and forecast KPIsDeliver findings & recommendations to non-technical, cross-functional stakeholders via various visualization methods (Google Analytics, Slides, Docs, Looker, notebooks etc.)Assist in sizing impact of new growth opportunitiesContribute to the development DoSomething.org’s long term analytics strategyData Infrastructure Strategy & Design (20%) Collaborate with product management and engineering departments to understand company needs and devise possible data product solutions that scaleInform requirements for derived tables that enable analysis; Optimize these joint development efforts through appropriate database use and project designInform requirements for monitoring to ensure our data pipelines are functional, scalable and working as expectedBI/ Operational support (30%) Support ad hoc requests for data & insights from business stakeholders across product, marketing, campaign and business development teamsSupport top level Looker reports/dashboards for non-technical staffWhat we're looking for: Strong sense of curiosity. You have the desire to learn new skills and understand complex problems fast.Ability to explain analytical outcomes in basic terms. You understand why making data accessible to the larger organization is important, and don't want to be a gatekeeper to this pertinent information.High degree of technical proficiency: 2-3 years of experience with SQL (any variant is fine, though we use PostgreSQL)1-3 years of experience with R or PythonAbility to write scalable, portable scripts that automate querying or generate reproducible analysisExperience with the following: BI tool (Tableau/Looker/PowerBI)Working with non-relational dataData warehousing technology and environments (a plus, not a non-negotiable)Team oriented with the ability to work cross-functionally and collaboratively at all levels of the organization. Well-rounded individual. You are currently learning a new skill or adopting a new hobby that has nothing to do with data science.Other Notes: Data is everywhere. If you’ve worked with it at scale, apply, even if you don’t meet every single qualification, please apply! Past successful candidates have come with backgrounds in CS, statistics, mathematics, and economics, although these are not required.Application Instructions. Here at DoSomething, we are committed to cultivating an equitable and inclusive environment where a diverse group of people can do their best work, and that starts with how we hire. We ask that you please remove all identifying information from your resume before you upload your application in an effort to help us remove unconscious bias from our resume review process. Identifying information includes your name, photos, LinkedIn URL, email and physical address.The Perks. 3 weeks vacation plus the week between Christmas and New Years (plus Summer Fridays from Memorial Day to Labor Day!). And your birthday, Valentine’s day, and a half-day on Halloween. If you’re in costume. Seriously.An inclusive office environment, a gong, brownie bake-offs, and the best coworkers you could ask for.Medical and dental premiums fully covered by us. Mhmm. You read that right.Five (or six? We’re losing count.) different ways of making coffee.An incredibly compelling reason to wake up and make it to work every day.DoSomething.org is an equal opportunity employer
Job Description If you are a Senior Data Science Engineer comfortable using PySpark and would love to work remote (from home) full time, please read on! We're a mid-sized security company (~100 people) with recent funding on a mission to ensure the security of many global organizations. Our solution software is configurable for both local and multinational organizations and has evolved into the lightest, most scalable endpoint solution in the world. Our HQ is based on San Jose, CA and we do have offices in the UK, Netherlands and Australia. This will be a full time role offering a base salary + bonus + equity/stock + full benefits + REMOTE (work from home)!What You Will Be Doing - Operate as a tech lead with junior engineers to take very high level requirements and solve them within the constraints of existing platform - Design and implement machine algorithms, and develop software applications to identify hidden patterns, outliers, and correlated events which help determine... insider threat, fraud and risk. - Design, build and maintain a big data platform using open source technologies such as Hadoop, Spark and ElasticSearch. - Translate business requirements into data models, algorithms, and processes in order to produce results from customer data sets. - Apply advanced data mining and machine learning techniques to specific domain problems for our next generation solution.What You Need for this Position - Python - PySpark / Spark - ElasticSearch or similar - Data Science Algorithms & Statistics - Postgres - Linux (Redhat / CentOS)What's In It for You - REMOTE work - HUGE room for career growth, we promote upward movement. - You work will be combating cyber fraud/hacking. - We're a leading company, with a global presence, fun office environment with very sharp engineers.So, if you are a Senior Data Science Engineer looking for an amazing career with a VERY successful company, please apply today
THIS IS A TEMP TO HIRE ROLE Specific job responsibilities for this position include: • Assumes responsibility for highly specialized technical objectives or problems where the relationships between cause and effect are difficult to establish and little or no precedence exists, and the use of creative imaginative thinking is required. • Works independently on technical activities without direct supervision. • Work with the Client technical team, members, and other stakeholders to identify and execute AI, use cases, potential projects, and data sets. • Understand, document, and share the landscape of AI technologies and vendors that can provide solutions for nuclear power industry challenges; this includes collaboration with corporate initiatives such as AI.Client.com and similar efforts. • Ability to provide expert advice to AI projects throughout the nuclear sector that are integrated with 3DM. • Assisting data stakeholders in ETL (extract, transform, load... processes. Education: • Bachelor’s Degree in a technical field or equivalent experience required. Knowledge, Skills, and Abilities: • 5 years of engineering experience or comparable work/educational experience. • Required limited supervision and guidance. • Responsible for the success of individual tasks. • Works closely with members, contractors, staff to manage projects. • Shows maturity of technical expertise and assumes responsibility for highly specialized technical objectives. • Excellent verbal and written communication skills. Ideal Candidate Ideal Candidate: • Bachelor’s degree in Data Science or a related field with 5 - 7 years of experience in the area. • Good understanding and comprehensive previous experience using AI. • Experience performing analysis on complex data sets, including statistical, supervised and unsupervised machine learning techniques, included but not limited to: K-means clustering, linear regression, logistic regression, SVM (Supported Vector Machines), random forest, GANs (Generative Adversarial Networks), transfer learning, recommender systems, deep reinforcement learning, image processing, NLP. • Demonstrated ability to work with Python (NumPy, Pandas, SciPy), SQL databases and similar tools for data analysis and AI; equivalent skills in R or MATLAB acceptable. • Experience with cloud solutions and systems. • Experience with curation of datasets to develop training and evaluation data
Job Description Hi, Data Scientist with background in Epidemiology –Consultant with health data analytics expertise-Immediate • Duration: start off 3 mos. with high likelihood of extension • Location: Remote-Want resource based in North America • Must have excellent written and oral communication skills • Must be Senior Resource ( 10 yrs+) in Health Data Analytics field • Must have multiple project experience working for large hospital( over 750+ beds)/Public Health Agency • Functional data experience with lab results/meeting KPI’s in Pandemics/Covid-infectious diseases more of a Functional resource who had extensive experience in Data Analytics working with Major Hospitals in NA also should have Population Health Systems Expertise. Sincerely, HR Manager nFolks Data Solutions LLC Phone: 425-999-4933 Email: arun(AT)nfolksdata.com
Trace Genomics has developed the first analytics engine that learns as it maps the living soil. Founded in 2015 to serve the farming community, Trace Genomics helps growers maximize the value of every acre. The company is building the largest, most actionable body of soil intelligence, making thousands of growers experts on what’s underground. Working collaboratively across the agriculture ecosystem, Trace Genomics helps growers optimize costs, manage risk and protect their soil. Headquartered in Silicon Valley—led by industry veteran Dan Vradenburg and founded by two female PhDs from Stanford University—Trace Genomics is having a meaningful impact on the future of food. Data Science Interns: Are you passionate about data and interested in building a career in Data Science? Do you thrive in a creative, inclusive and problem-solving environment? Your Role *-Building an analytics module for customer analytics reports-Building a Business Intelligence dashboard-Improving upon existing... models (e.g. calculating regional pathogen thresholds)Attend meetings and support day-to-day deliverables/assignments -Various data science tasks • Your Qualifications-Undergraduate degree; Preferred pursuit of Master’s or PhD in Computer Science or related field-Working knowledge, skills and abilities with software and data analysis -Exceptional writing and research skills Independent with strong interpersonal communication skills-Team-spirit, can-do attitude-Excited for this opportunity and eager to learn from it as much as possible Trace Genomics focuses on Biotechnology, Agriculture, Farming, Adtech, and Artificial Intelligence / Machine Learning. Their company has offices in Burlingame. They have a small team that's between 11-50 employees. To date, Trace Genomics has raised $22.535M of funding; their latest round was closed on June 2019. You can view their website at http://tracegenomics.com
Senior Data Scientist • T-Mobile USA, Inc. – Bellevue, WA • Job ID: 218618112 Job Description This position may be located anywhere in the United States. Employee may work remote, work from home. This role offers analytically-minded candidates the opportunity to be part of one of T-Mobile’s fastest-growing divisions-T-Mobile For Business-and create real impact. As Sr. Data Scientist, you will partner with both functional and technical teams and outside partners to collaborate, test hypotheses, build proofs of concept, and turn data into information. You will use various tools such as R, python, AzureML and PowerBI to explore data, build and evaluate models, and visualize the results to tell the story to your business partners. This role reports to the Senior Manager of Analytics. The Senior Data Scientist is a knowledgeable leader who is passionate about data modeling, forecasting, optimization, and possesses a strong vision of how data science and engineering can create value for... our customers and for the company. To be successful in this role, you will need inherent curiosity and the ability to think cross-functionally. You should be able to dissect complex problems, utilize facts/data to derive conclusions, and deliver clear recommendations through storytelling. Examples of work include forecasting product and sales performance, identifying key drives of performance and customer adoption, estimating market penetration, evaluating business cases for new initiatives, and identifying and understanding impacts of macro trends. Responsibilities • Perform ad hoc data mining, exploration, and statistical analyses on complex business problems • Drive the process of getting from problem statement to recommendation: break down problem and develop analysis framework; identify, procure, and explore relevant data; construct models as appropriate to analyze data and derive insights • Create executive-level presentations and present complex analytical findings in a clear, concise and decision-impacting manner through effective visualizations and storytelling • Lead the implementation, assessment, and standardization of toolkits for data science, insight management, and visualizations • Research and work with Data Engineering and Platform Architecture teams to implement new and emerging technologies that will facilitate better data integrity, reliability, and enrichment for quantitative solutions • Develop and maintain positive working relationships with partner teams in a collaborative team environment • Coach and mentor analysts on the team Qualifications • Master’s degree in a quantitative discipline and 5 years of data science/business analytics experience • Strong understanding of statistical concepts, data modelling techniques and tools • Extensive experience in data acquisition and manipulation/massaging/munging from transactional systems, data warehouses, and various third-party sources (e.g., web, Google, US Census, D&B, etc.) • High level of statistical modeling proficiency and proven experience in data analysis • Proficient in data visualization for effective communication • Excellent storytelling and communication skills-written and oral-with good executive-level presence • Good business acumen with broad exposure to multiple functional areas • Talent for multi-tasking, prioritizing objectives, and meeting deadlines Desired Education • Master’s degree with quantitative concentration (Computer/Data Science, Economics, Statistics, Analytic Finance) required Minimum Qualifications • At least 18 years of age.* Legally authorized to work in the United States.* High School Diploma or GED.* Pre-employment background screen. Company Profile As America’s Un-carrier, T-Mobile USA, Inc. (NASDAQ: “TMUS”) is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The company’s advanced nationwide 4G and 4G LTE network delivers outstanding wireless experiences for customers who are unwilling to compromise on quality and value. Based in Bellevue, Washington, T-Mobile USA. Inc. provides services through its subsidiaries and operates its flagship brands, T-Mobile and Metro by T-Mobile. For more information, please visit Applicant Privacy Policy We are committed to maintaining your trust by respecting and protecting your privacy. For more information about how T-Mobile processes the personal data of job applicants, please visit . EOE Statement We Take Equal Opportunity Seriously – By Choice. T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination or harassment based upon any of these factors is wholly inconsistent with our Company values and will not be tolerated. Furthermore, such discrimination or harassment may violate federal, state, or local law. Brand T-Mobile EOE Statement We Take Equal Opportunity Seriously – By Choice
Job Description An experienced data scientist with a background in the healthcare domain is required by a mid-stage start up that build data solutions that help to improve the healthcare system. The position will help provide new innovative analytic solutions as well as help develop various commercial products through development and deployment of machine learning Algorithms. The position will also be client facing, providing consultations and helping deliver insights and analytics to the end user community to help enhance patient experience. This is a remote position. Key skills/ Requirements: • Masters (with 5+ years industry experience) or PhD (2+ years industry experience) in Science, Math, Engineering or computational related field. • Experience in Healthcare domain • Strong experience building and developing Machine learning models • Excellent programming skills in Python, ability to develop production level code • Natural Language Programming (NLP) experience highly... desirable. If interested in the role, please apply using the link. If you have questions, please reach out to Frazer Spackman at Huxley Associates for a confidential conversation. Sthree US is acting as an Employment Agency in relation to this vacancy
About Concerto HealthAI Concerto HealthAI is the leading provider of precision health clinical and commercial real-world data and AI solutions to the global pharma community and across the broader healthcare landscape. Our mission is to accelerate drug development, clinical trials, and HEOR analytics to dramatically improve patient outcomes. Concerto HealthAI is part of a select set of companies backed by SymphonyAI Group (SAI) the largest AI-focused investment firm in the world, which was founded and is led by Dr. Romesh Wadhwani, a highly successful serial tech entrepreneur, investor, and philanthropist. Dr. Wadhwani has committed $1 billion in capital to build SAI’s portfolio companies into global leaders that deliver extraordinary new value across diverse industries. Role Summary Concerto HealthAI is looking for a Strategic Data Scientist with real-world data (RWD) experience to oversee implementation of Concerto HealthAI’s leading Real-world data products and clinical cloud... and AI solutions in a customer-facing role. In this role you will deliver training, consultation, and related analytics support services to client organizations within our strategic partnerships to ensure that the optimal value from Concerto HealthAI products are realized. The successful candidate will have experience with real-world data study design, data analytic skills, and a deep understanding of all of Concerto HealthAI’s data products and technology platform functionality. This role reports to the Vice President, Data Products. Responsibilities • Establish and maintain relationships with key partner stakeholders at strategic partner sites and serve as the liaison to provide expert support on all data and technology features and projects. • Lead training activities for strategic client partners, providing presentations and consultation to maximize the value obtained from data products and technology solutions. • Provide scientific and methodological direction for observational research on Concerto real-world data using eureka Health (technology). • Contribute to the development of study protocols, statistical analysis plans , programming specification and output documents • Access internal stakeholders as needed to support partner aims, including team members from Outcomes Services (OSS), Data Science, Patient Engagement, and other areas relevant to partner needs • Coordinate delivery schedules, manage client expectations, and assure successful integration of products and technology into partner workflows. • Identify barriers to partner implementation of Concerto HealthAI products and technologies, and works with internal and client stakeholders to develop implementation strategies and deploy and solutions. • Own the client relationship and evangelize Concerto HealthAI’s capabilities in client and partner settings. • Manage eureka Health pre-sales and post-sales efforts in partnership with business development and product teams. • Engage with and present to executives, data science teams, and clinical teams. • Supervise execution of projects within a matrix environment, including coordinating project activities, participating in client-facing project meetings, providing guidance and leadership when analyzing research findings, developing results presentations and recommendations, and validating deliverables. Requirements • PhD, MD or equivalent in AI/Machine Learning, Data Science, statistics, biostatistics, epidemiology or in a related discipline. • 5+ years experience in life Science or biotech industry in a Data Science role. • 2+ years of experience in a client-facing role supporting real-world data (RWD) client projects would be a plus. • 2+ years of experience in (RWD) study design, data preparation, and data modeling. • Excellent time management skills, contributing to multiple projects with competing timelines. • Experience designing and executing prospective or retrospective database studies. • Publications in peer reviewed journals and/or abstracts in scientific conferences. • Proven experience working with large, individual-level data sets or in a (RWD) data analyst role. • Strong programming skills in Python, R and deep knowledge of (RWD) data sets and how best to select the right data sources given the study question at hand. Learn More About Concerto HealthAI Concerto HealthAI is transforming how healthcare is delivered and dedicated to improving patient outcomes in oncology by offering innovative solutions on how data and intelligence is used to solve healthcare problems. We are creating something special in our culture, by building a collaborative, engaged, patient focused, team approach to our mission. Our high performance teams are looking to add great talent to the mix and we are hiring for the right mix of new skills and diverse mindset. Learn more about Concerto HealthAI at www.concertohealthai.com , or follow us on LinkedIn
ASCEND transforms real-world data from the interdependent domains of health, education, income, social conditions, and well-being through the use of analytics and dynamic social networks. These advanced knowledge networks link human data to better understand and improve life. We bring life to data. ASCEND provides a flexible work environment in a team-first corporate culture. Yes, that means you can work from home (or the local coffee shop). We also provide competitive benefits, professional development, and the opportunity for interesting work with the latest and greatest technologies. If you are selected to join ASCEND, you will be among the best of the best in our industry and become a key member of our dynamic, high-performing team. Job Profile The Data Scientist of ASCEND will develop capabilities for our family of products and support our clients. • Producing high-quality analytical reports and dashboards for clients and internal senior leaders/decision makers • Planning... organizing, and leading analysis efforts, including the collection, analysis, and layering of both internal and external business information • Using Superset, Metabase, Power BI or Tableau to connect to data sources and develop data visualizations to communicate key metrics to create insightful analyses • Authoring and producing a variety of analytical products in varying mediums that are tailored for the intended audience • Maintaining and improving operational reports • Monitoring and improving internal data collection methods to refine and grow reporting and analysis capabilities Education, Knowledge, and Experience • Masters Degree in Statistics, Biostatistics or related field, with a solid foundation in both theoretical and applied statistics. • 5+ years of experience with the development of business metrics, operational reports, and market trends • 3+ years of experience with data visualization tools, including SuperSet, Metabase, PowerBI and Tableau • 3+ years of experience with query writing in SQL database • Experience with gathering, filtering, and categorizing large amounts of data, analyzing and synthesizing information to identify business trends and critical issues, and developing conclusions and formulating recommendations • Experience with using Microsoft Office software to produce high-quality analytical products and reports, including Word, Excel, and PowerPoint • Experience with database management and administration Skills • Ability to work in a fast-paced and collaborative environment, adapt to changing demandsand priorities, and execute against ambiguous direction • Ability to pay strict attention to detail • Strong project management skills for leading short and long-term efforts • Strong interpersonal skills for developing and maintaining relationships at all levels within the organization • Strong oral and written communication skills to manage client expectations, shape and scope assignments, and deliver articulate and succinct executive-level briefings Supervisory Responsibility • N/A Physical Demands • N/A Expected Hours of Work • This is a full-time position. Occasional evening and weekend work may be required as job duties demand. Travel • N/A AAP/EEO Statement ASCEND, LLC is an Equal Opportunity/Affirmative Action Employer (M/F/Disability/Veterans). Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice
Lambda School is on a mission to pioneer a new model of accessible higher education with no upfront costs and where the school invests in the students instead of the other way around. We are rethinking learning so that we can address the needs of both students and employers in tandem. We’re a progressive alternative to traditional college and fast track bootcamps. Lambda is an intensive program and an immersive live, online curriculum that teaches people the hard and soft skills they need to launch a new tech career. We offer both full time and part time courses to our students. Lambda has successfully completed funding rounds with premier tier venture investors and we have students in almost every State across the United States. We’re looking for passionate, talented people who want to change the way the world thinks about higher education and unlock human potential, regardless of circumstance. If that sounds exciting to you, let’s talk. Our success depends on building teams who... can challenge each other's assumptions with fresh perspectives. To that end, we don’t just accept differences – we celebrate them. Lambda School welcomes a diverse pool of applicants, including those from historically marginalized groups and non-traditional backgrounds who can appreciate the diverse student communities that we serve and are looking to grow into. This includes women, people with disabilities, people of color, formerly incarcerated people, individuals who are lesbian, gay, bisexual, transgender, queer and/or gender nonconforming, first and second generation immigrants, veterans, and people from different socioeconomic backgrounds. Lambda School is hiring Associate Instructors to join our Learning Team. These are pivotal new positions in our organization that will be integral to our students’ success as they embark on a life-changing journey. As an Associate Instructor, you will not only be responsible for delivering curriculum, you will also coach and mentor students as they prepare to enter the job market and start their new career. As a potential candidate, you are a teacher at your core. You are driven by the desire to see a student succeed and want to play an integral role in that success. You love technology and understand that the curriculum taught at Lambda School is helping to create the technologists of the future. You won't be developing code more than teaching it but, you do like to keep up with and use the latest applications or technologies on the market. As a teacher you are creative and have lots of ideas to keep students engaged as you teach, especially in a remote environment. This is a full time role that would be supporting either our full-time track or part-time evening track. What you'll do: • Deliver curriculum to students, track student progress and prepare students for the job market • Teach topics including Statistics, Linear Algebra, Predictive Modeling, Data Engineering, SQL and Databases, Natural Language Processing, and Deep Learning/Neural Networks (you will be assigned topics based on your experience) • Actively contribute to and improve upon the existing curriculum in conjunction with the curriculum development team • Teach multiple guided projects throughout the day • Lead regular question and answer sessions around the curriculum • Under direction of the Lead Instructor; build implement, deliver, and continue to improve upon track curriculum to produce job market ready graduates • Keep Lead Instructors up to date by providing details of status and student performance for the portion of curriculum you are responsible for • Work closely with students and mentors to monitor overall student participation and performance • Work closely with student leadership and student success teams to ensure our students are getting the support they need to succeed • Coordinate cross functionally across multiple school and company teams to contribute to the goals and initiatives of the track in partnership with the learning leadership team What you'll need: • If your highest education is High School Diploma or GED, you are required to have 5+ years of working experience in the learning track’s industry • If your highest education is a College Degree (proof required), you are required to have 3+ years of working experience in the learning track’s industry • Minimum 3+ years of experience in the industry • Experience in teaching and/or curriculum design ideally in a remote environment and in a technical or technical related field • Experience working with a diverse group of individuals • Experience using technology (systems, applications etc) • Strong communication skills; comfortable and compelling in public speaking situations • Experience working autonomously and with little oversight Lambda School is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Lambda School is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or an accommodation due to a disability. Lambda School focuses on Education, Software, Technical Continuing Education, Online Education , and Higher Education. Their company has offices in San Francisco. They have a mid-size team that's between 51-200 employees. To date, Lambda School has raised $4.12M of funding; their latest round was closed on January 2018. You can view their website at https://lambdaschool.com/ or find them on Twitter, Facebook, and Product Hunt
We’re looking for a thoughtful data engineer/scientist who’s excited to surface insights from blockchain data. Because we’re still a small team, you should be as comfortable wrangling data as you are analyzing it. This role offers a high degree of autonomy, and you will have ownership over our entire data pipeline, from gathering and processing to retrieval and analysis. You will be responsible for curating user-facing analytics dashboards, performing internal analyses, and more. Overview of Responsibilities • Explore data gathering/storage/access solutions appropriate for the setting • Efficiently calculate financial returns and performance simulations for Uniswap liquidity pools • Create reports and dashboards to track key metrics using public and internal data to inform company strategy Requirements • 1-3 years of experience in data engineering/data science • An understanding of the nuances involved in gathering, storing, and analyzing on-chain data • The ability to perform... complex financial calculations and robust statistical analyses • The ability to communicate findings via static visualizations, interactive dashboards, web interfaces, and text Nice-to-haves • Knowledge of existing solutions for blockchain data • Degree in statistics, computer science, or related field We are a team mostly located in the NYC area and prefer candidates who live in or would be able to relocate to New York City, but are very open to remote work for the right candidate. Uniswap welcomes all qualified persons to apply regardless of race, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Compensation will be competitive and commensurate with experience. This is a full time role which includes health insurance and other benefits. Uniswap Protocol focuses on Finance Technology, Cryptocurrency, Software Engineering, and Blockchain / Cryptocurrency. Their company has offices in New York City. They have a small team that's between 1-10 employees. You can view their website at https://uniswap.org/ or find them on Twitter
Cognitive Data Scientist U.S. citizenship is required for this position due to Department of Defense restrictions. Role Summary The Data Scientist will identify, architect, design, and present new data management and advanced analytics opportunities for WPS that delivers enhanced business value and operational agility. Through proof-of-concepts, demonstrate emerging analytical capabilities that align with business goals and budgets and integrate within WPS service-oriented architecture. Evangelize and mainstream production ready solutions to WPS business units to solve complex business problems. In This Role You Will • Gather and interpret multi-dimensional data to identify key features and suggest potential hyperparameters among several models or distributions. • Design and develop models of low to intermediate complexity in R and Python. • Visualize complex data sets for analysis of high-value machine learning targets to aid in selection for development. • Provide model feature... context to machine learning engineers throughout development of cognitive solutions, including ongoing business facilitation and discussion around KPIs and metrics. • Analyze complex data structures and business feedback to form detailed machine learning hypotheses for potential implementation, including quantified and measurable business impact statements. • Provide structured and balanced training data sets based on hypotheses from a variety of sources, working with machine learning engineers to rapidly iterate and evaluate training results for further training set refinement. • Coordinate with machine learning engineers to schedule and build production training sets based on observed and quantified model degradation. • Specify data mining protocols to desktop robotics engineers in order to assemble structured data where availability is low. • Advise and consult information architecture professionals as a consumer of next-generation data systems. This Role Could Be a Good Fit If You • Drive advanced analytical innovation by removing technical and cultural barriers to innovation process. • Enjoy providing guidance into overall strategy and statistical methodologies used to solve complex business problems. • Are proficient in generating advanced methods of visualization of data to allow clearer communication, viewer engagement and improved decision-making. • Develop and perform preliminary exploratory analysis on large, complex, and diverse datasets. • Are responsible with data acquisition, translation, and validation from multiple sources. • Are comfortable with manipulating and analyzing complex, high-volume, high dimensionality data from multiple sources. You’ll Benefit From This Experience By • Working in an environment that serves our Nation’s military, veterans, Guard and Reserves along with their families. • Collaborating with Enterprise Technology innovation team members to identify and deliver advanced analytical capabilities to WPS business units. • Developing strategies and methodologies to validate model performance following implementation. • Evangelizing and mainstreaming advanced analytical solutions to internal customers. • Staying current on new and emerging data management and analytical technologies. • Maintaining a strong understanding of statistical analysis, predictive modeling, programming, and data visualization. You Need To Have • U.S. citizenship is required for this position due to Department of Defense restrictions. • Bachelor's Degree in related field or equivalent post high school and/or related work experience. • 1 or more years of related work experience We Also Prefer • Master’s degree In the STEM arena. • 3 or more years of progressive technology experience within data management and analytics domains, to include. • 2 or more years of advanced analytics experience performing data analysis and predictive modeling OR a combination of relevant experience and demonstrated ability to meet. • Knowledge of advanced statistical techniques and concepts (regression, clustering, distribution, hypothesis testing etc.). • Proficiency in programming in analytical tools such as R, Python, Stata or similar • Experience in extracting, cleaning, and restructuring large datasets. • Experience in creating meaningful data visualizations from disparate sources using PowerBI, Spotfire, Tableau or similar. • Advanced degree in Economics, Statistics, Mathematics or other quantitative field preferred. Your Team The Data Platform Modernization team exists to break down barriers between our employees and the data that connects us to our mission. As a part of the Emerging Technology and Innovation group, you will be dedicated to developing and scaling proven disruptive technologies into WPS architecture to drive digital maturity in alignment with SSG’s core mission as the “agent of change”. Compensation And Benefits • Eligible for annual Performance Bonus Program • 401(k) with dollar-per-dollar match up to 6% of salary • Competitive paid time off • Health and dental insurance start DAY 1 • Vision insurance • Flexible spending, dependent care, and health savings accounts • Short- and long-term disability, group life insurance • Dress for your day • Innovative professional and cognitive development programs Who We Are WPS Health Solutions is an innovator in health insurance and a worldwide leader in claims administration, serving millions of beneficiaries in the United States and abroad. Founded in 1946, WPS offers health insurance plans for individuals, families, and seniors, and group plans for small and large businesses. We are a world-class claims processor and program administrator for the government’s Medicare program. And we manage benefits for millions of active-duty and retired military personnel and their families. WPS has been named one of the World's Most Ethical Companies® by the Ethisphere® Institute for 10 years in a row. Learn more about WPS. Our Purpose and Values Our purpose is to make healthcare easier for those we serve. Click Here Our values - Customer Focused, Individual Responsibility, Mutual Respect, and Driven & Passionate - are the core of who we are and how we conduct business every day. Health Insurance WPS Health Insurance offers high-quality health insurance plans for individuals and families, Medicare supplement plans for seniors, and group health plans for businesses of every size. http://wpshealthsolutions.com/business-units/wpshi.shtml Military and Veterans Health WPS Military and Veterans Health administers claims and provides customer service and related activities for the U.S. Department of Defense and the U.S. Department of Veterans Affairs and their beneficiaries. http://wpshealthsolutions.com/business-units/wpsmvh.shtml Government Health Administrators WPS Government Health Administrators manages Medicare Part A and Part B benefits for more than 7 million beneficiaries. As one of the largest contractors for the Centers for Medicare & Medicare Services, we’ve served Medicare beneficiaries and their health care providers since 1966. http://wpshealthsolutions.com/business-units/wpsgha.shtml Arise Arise Health Plan provides innovative and high-value health plans to groups and individuals in eastern and northeastern Wisconsin. With our quality Wisconsin-based customer service, Arise offers health care expertise with a personal touch. http://wpshealthsolutions.com/business-units/arise.shtml EPIC Specialty Benefits EPIC Specialty Benefits provides businesses group insurance products that cover: • Life • Disability • Dental • Vision • Voluntary benefits http://wpshealthsolutions.com/business-units/epicsb.shtml Stay connected: Sign-up for Job Alerts FOLLOW US! Facebook Twitter LinkedIn
Cognitive Data Scientist U.S. citizenship is required for this position due to Department of Defense restrictions. Role Summary The Data Scientist will identify, architect, design, and present new data management and advanced analytics opportunities for WPS that delivers enhanced business value and operational agility. Through proof-of-concepts, demonstrate emerging analytical capabilities that align with business goals and budgets and integrate within WPS service-oriented architecture. Evangelize and mainstream production ready solutions to WPS business units to solve complex business problems. In This Role You Will • Gather and interpret multi-dimensional data to identify key features and suggest potential hyperparameters among several models or distributions. • Design and develop models of low to intermediate complexity in R and Python. • Visualize complex data sets for analysis of high-value machine learning targets to aid in selection for development. • Provide model feature... context to machine learning engineers throughout development of cognitive solutions, including ongoing business facilitation and discussion around KPIs and metrics. • Analyze complex data structures and business feedback to form detailed machine learning hypotheses for potential implementation, including quantified and measurable business impact statements. • Provide structured and balanced training data sets based on hypotheses from a variety of sources, working with machine learning engineers to rapidly iterate and evaluate training results for further training set refinement. • Coordinate with machine learning engineers to schedule and build production training sets based on observed and quantified model degradation. • Specify data mining protocols to desktop robotics engineers in order to assemble structured data where availability is low. • Advise and consult information architecture professionals as a consumer of next-generation data systems. This Role Could Be a Good Fit If You • Drive advanced analytical innovation by removing technical and cultural barriers to innovation process. • Enjoy providing guidance into overall strategy and statistical methodologies used to solve complex business problems. • Are proficient in generating advanced methods of visualization of data to allow clearer communication, viewer engagement and improved decision-making. • Develop and perform preliminary exploratory analysis on large, complex, and diverse datasets. • Are responsible with data acquisition, translation, and validation from multiple sources. • Are comfortable with manipulating and analyzing complex, high-volume, high dimensionality data from multiple sources. You’ll Benefit From This Experience By • Working in an environment that serves our Nation’s military, veterans, Guard and Reserves along with their families. • Collaborating with Enterprise Technology innovation team members to identify and deliver advanced analytical capabilities to WPS business units. • Developing strategies and methodologies to validate model performance following implementation. • Evangelizing and mainstreaming advanced analytical solutions to internal customers. • Staying current on new and emerging data management and analytical technologies. • Maintaining a strong understanding of statistical analysis, predictive modeling, programming, and data visualization. You Need To Have • U.S. citizenship is required for this position due to Department of Defense restrictions. • Bachelor's Degree in related field or equivalent post high school and/or related work experience. • 1 or more years of related work experience We Also Prefer • Master’s degree In the STEM arena. • 3 or more years of progressive technology experience within data management and analytics domains, to include. • 2 or more years of advanced analytics experience performing data analysis and predictive modeling OR a combination of relevant experience and demonstrated ability to meet. • Knowledge of advanced statistical techniques and concepts (regression, clustering, distribution, hypothesis testing etc.). • Proficiency in programming in analytical tools such as R, Python, Stata or similar • Experience in extracting, cleaning, and restructuring large datasets. • Experience in creating meaningful data visualizations from disparate sources using PowerBI, Spotfire, Tableau or similar. • Advanced degree in Economics, Statistics, Mathematics or other quantitative field preferred. Your Team The Data Platform Modernization team exists to break down barriers between our employees and the data that connects us to our mission. As a part of the Emerging Technology and Innovation group, you will be dedicated to developing and scaling proven disruptive technologies into WPS architecture to drive digital maturity in alignment with SSG’s core mission as the “agent of change”. Compensation And Benefits • Eligible for annual Performance Bonus Program • 401(k) with dollar-per-dollar match up to 6% of salary • Competitive paid time off • Health and dental insurance start DAY 1 • Vision insurance • Flexible spending, dependent care, and health savings accounts • Short- and long-term disability, group life insurance • Dress for your day • Innovative professional and cognitive development programs Who We Are WPS Health Solutions is an innovator in health insurance and a worldwide leader in claims administration, serving millions of beneficiaries in the United States and abroad. Founded in 1946, WPS offers health insurance plans for individuals, families, and seniors, and group plans for small and large businesses. We are a world-class claims processor and program administrator for the government’s Medicare program. And we manage benefits for millions of active-duty and retired military personnel and their families. WPS has been named one of the World's Most Ethical Companies® by the Ethisphere® Institute for 10 years in a row. Learn more about WPS. Our Purpose and Values Our purpose is to make healthcare easier for those we serve. Click Here Our values - Customer Focused, Individual Responsibility, Mutual Respect, and Driven & Passionate - are the core of who we are and how we conduct business every day. Health Insurance WPS Health Insurance offers high-quality health insurance plans for individuals and families, Medicare supplement plans for seniors, and group health plans for businesses of every size. http://wpshealthsolutions.com/business-units/wpshi.shtml Military and Veterans Health WPS Military and Veterans Health administers claims and provides customer service and related activities for the U.S. Department of Defense and the U.S. Department of Veterans Affairs and their beneficiaries. http://wpshealthsolutions.com/business-units/wpsmvh.shtml Government Health Administrators WPS Government Health Administrators manages Medicare Part A and Part B benefits for more than 7 million beneficiaries. As one of the largest contractors for the Centers for Medicare & Medicare Services, we’ve served Medicare beneficiaries and their health care providers since 1966. http://wpshealthsolutions.com/business-units/wpsgha.shtml Arise Arise Health Plan provides innovative and high-value health plans to groups and individuals in eastern and northeastern Wisconsin. With our quality Wisconsin-based customer service, Arise offers health care expertise with a personal touch. http://wpshealthsolutions.com/business-units/arise.shtml EPIC Specialty Benefits EPIC Specialty Benefits provides businesses group insurance products that cover: • Life • Disability • Dental • Vision • Voluntary benefits http://wpshealthsolutions.com/business-units/epicsb.shtml Stay connected: Sign-up for Job Alerts FOLLOW US! Facebook Twitter LinkedIn
Our Data Science program is designed to provide interns with real-world experience working on projects on a typical Data Science environment, using state of the art tools and technologies, while gaining broad exposure to the media industry. Interns will acquire specific responsibilities, goals, and timelines aligned with the teams they are embedded in. Join us as we collaborate across our business to support and inform data-enhanced strategic decisions. Daily responsibilities and projects may include (but are not limited to): Assisting with research & development to inform new methodologies Implementing predictive and inferential statistical and/or machine learning models Contributing to the development of tools and data pipelines Deadline: Interested applicants must apply by July 10, 2020. Current Master's or PhD student at an Accredited Institution in Data Science, Computer Science, Operations Research, Statistics, Mathematics, Economics, or other relevant quantitative fields. Must... be able to provide documentation to confirm your degree progress Working knowledge of at least two of the following programming languages: R, Python, Julia, Java, Scala or similar Prior experience with Machine Learning and/or statistical modeling Advanced working knowledge of statistics and its applications for inferential data analysis Familiarity with Spark, Hive and/or Hadoop Familiarity with relational databases and SQL Experience with data visualization techniques and concepts Cumulative GPA of 3.0 or above Must be 18 years of age or older Must be authorized to work in the United States without visa sponsorship by NBCUniversalInterest in the media industry Commitment to building an inclusive work environment Strong interpersonal skills; must be able to work effectively as part of a project team and foster team cooperation Excellent verbal and written communicationWe're going remote for the Fall 2020 internship semester! We recognize that in this unique time, connecting students with opportunities to learn and grow is more important than ever. NBCUniversal’s commitment to developing early career talent has never been stronger. Our Interns are a diverse and curious community of innovators and trail blazers. They bring their passion for media, entertainment and technology along with their desire to learn each day. They contribute to the company in ways that matter. We engage them all semester long with program-wide opportunities for professional development, leadership exposure, networking and fun – all from the comfort of their own home. Here You Can connect to your future!NBCUniversal’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable
a month ago
Security Clearance: Secret Regular/Temporary: Regular Position Description: JOB OVERVIEW: With a focus on Processing, Exploitation and Dissemination of intelligence collection efforts, production, efficiency, and individual or unit effectiveness, develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. Conduct data mining and retrieval, and apply statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and gather intelligence. Visualize information using a range of tools (e.g., GIS, R), develop scripts and algorithms, create explanatory and predictive models, and conduct comparative analyses to address complex problems. RESPONSIBILITIES AND DUTIES: • Execute the following task areas: collecting, compiling, processing, normalizing, analyzing and interpreting data using systems support tools such as SAS, Tableau, Access, and Excel; managing... data quality, cleansing, tagging, archiving and metadata management; testing and implementing application software with regards to collecting, process, and storing data. Work with units to create questions and define technology opportunities. Drive the exploration of data sources and analytic techniques to create new modeling approaches pursuant to PED operations. Work with large data sets to solve complex problems. Apply statistical methods to develop analytic models. • Collect data from multiple sources, including primary, secondary, internal, and external sources to generate relevant data for analysis. • Design and develop methods, processes, and systems to consolidate, interpret, and analyze structured and unstructured, diverse sources including "big data" sources. • Use advanced software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets and models complex problems. • Be familiar with and apply disciplines such as Natural Language Processing, Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing. • Develop analytics to identify trend lines across several data sources within the organization. • Work with cross-discipline teams in order to ensure connectivity between various databases and systems. • Maintain databases or data systems, as well as identifies new process improvement opportunities. • Identify meaningful insights and interpret and communicate findings and recommendations to non-technical audiences with visualizations, which include dashboards, flowcharts and graphs. Compile Excel spreadsheets and uses Visual Basic for Applications to make data visible before analysis to identify useful trends and provide management with relevant information that will facilitate informed decisions. • Develop information tools, algorithms, dashboards, and queries to monitor and improve business performance. Maintains awareness of emerging analytics and big-data technologies. • Undertake operational research to identify and recommend optimal/near-optimal solutions to complex challenges. QUALIFICATIONS: • Must Possess or can obtain and maintain a Top-Secret DoD security clearance. SECRET CLEARANCE IS REQUIRED. • Detail-oriented with technical, verbal, and written communication skills. • At least three (3) year of data analytics-related experience or relevant experience. • Experience at various level of the military, such as Headquarters, Department of the Army, Program Executive Offices, or Army Services Component Commands is recommended, but ORSA support at other agencies will be considered. • Demonstrated proficiency in applied programming and/or manipulation of data with a programing language such as Python, R, SQL or Java. Other languages will be considered. • Demonstrated experience developing and deploying automated processes to identify, collect, process, and analyze large data sets. • Demonstrated expertise with the use of data visualizations for exploratory comparative analysis by way of scripts, algorithms, and/or predictive models. • Demonstrated experience cleaning, filtering, transforming data, and/or enriching data. • Basic knowledge of the Intelligence Preparation of the Battlefield (IPB), and the Military Decision-Making Process (MDMP). EDUCATION REQUIREMENTS: Bachelor's degree from an accredited college or university in Mathematics, Data Science, Geographic Information Science, Information Science, Informatics and Computing, Information Science, or degree that provided at least 6 semester hours in statistics, and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. OR Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience that should have included a full range of professional statistical work such as: (a) intermediate and/or advanced statistics, (b) linear, semi-linear, and/or non-linear models, (c) working with a range of data types and statistical methods, or (d) data visualization capabilities. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years. OR Minimum 3 years work experience. Experience in analytics and statistical modeling. Experience in consulting or similar field requiring client collaboration, presentation, and delivery. Experience scripting and data analysis in R or Python. Experience extracting, aggregating, and structuring data along different dimensions Preferred Qualification: -Graduate of the Army Basic Instructor Course (ABIC) or equivalent Intelligence Community instructor course (i.e., NGA College, NSA ADET, etc.). QHSE REQUIREMENTS • Take reasonable care for the Health and Safety of yourself and other persons who may be affected by your actions or omissions. • Conform to all Safety Instructions given by those with a higher responsibility for Health and Safety. • Report all hazards, potential hazards or dangerous situations, including damaged or mislaid personal protective equipment to your Supervisor or Safety Representative. • Report Environmental impacts, anything that results in a change to the Environment as a result of Valiant's activities, products or services. • Participate in the achievement of Valiant's QHSE objectives and targets, both those at departmental and company level. CORE VALUES: INTEGRITY - Honesty, Trust and Respect in every situation EXCELLENCE - Performance, Effectiveness, Quality, and Safety in everything we do INNOVATION - Embracing new ideas and best practice in every service that we provide Valiant Integrated Services is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. NOTICE: Valiant Integrated Services NEVER asks job applicants to issue any payment or service fees to Valiant or its recruiters as part of our application process. Before providing any personal information to outside parties, verify that the job you are applying for appears on our Careers site. Position Requirements: QUALIFICATIONS: • Must Possess or can obtain and maintain a Top-Secret DoD security clearance. SECRET CLEARANCE IS REQUIRED. • Detail-oriented with technical, verbal, and written communication skills. • At least three (3) year of data analytics-related experience or relevant experience. • Experience at various level of the military, such as Headquarters, Department of the Army, Program Executive Offices, or Army Services Component Commands is recommended, but ORSA support at other agencies will be considered. • Demonstrated proficiency in applied programming and/or manipulation of data with a programing language such as Python, R, SQL or Java. Other languages will be considered. • Demonstrated experience developing and deploying automated processes to identify, collect, process, and analyze large data sets. • Demonstrated expertise with the use of data visualizations for exploratory comparative analysis by way of scripts, algorithms, and/or predictive models. • Demonstrated experience cleaning, filtering, transforming data, and/or enriching data. • Basic knowledge of the Intelligence Preparation of the Battlefield (IPB), and the Military Decision-Making Process (MDMP). EDUCATION REQUIREMENTS: Bachelor's degree from an accredited college or university in Mathematics, Data Science, Geographic Information Science, Information Science, Informatics and Computing, Information Science, or degree that provided at least 6 semester hours in statistics, and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. OR Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience that should have included a full range of professional statistical work such as: (a) intermediate and/or advanced statistics, (b) linear, semi-linear, and/or non-linear models, (c) working with a range of data types and statistical methods, or (d) data visualization capabilities. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years. OR Minimum 3 years work experience. Experience in analytics and statistical modeling. Experience in consulting or similar field requiring client collaboration, presentation, and delivery. Experience scripting and data analysis in R or Python. Experience extracting, aggregating, and structuring data along different dimensions Preferred Qualification: -Graduate of the Army Basic Instructor Course (ABIC) or equivalent Intelligence Community instructor course (i.e., NGA College, NSA ADET, etc
Title: Director of Data Science – Telecommute • Location: United States • Division:Optum Ops-Shared Svcs Analytcs • Contest Number: 878977 • Title: Director of Data Science – Telecommute • Family: Analytics • Function: Data Science • BusinessSegment: Optum Operations • Region: North America • Country: United States • EmployeeStatus:Regular • Schedule:Full-time • JobLevel:Director • Shift:Day Job • Travel:No • Overtime Status:Exempt • Telecommuter Position: Yes Optum Payment Integrity Analytics is looking to expand and is seeking a Director of Data Science to join our team and help us reach our goals of accurate and effortless payments of claims through advanced analytics and machine learning. You should be an exceptional disciplined and self-motivated Data Science manager with predictive modeling and advanced analytics experience and a passion for working with healthcare data, experience using various computational approaches, and a portfolio of projects you can show and talk... about. You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: • Improve and extend the analytic methods in our products • Mentor and manage junior members of the team • Work alongside other data scientists, engineers, and project managers to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation • Conduct hands-on data analysis and predictive analytics on large datasets • Effectively communicate complex technical results to business partners • Support and drive analytic efforts around machine learning and innovation • Work with a great deal of autonomy to find solutions to complex problems You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: • Bachelor’s Degree or higher in Applied Mathematics, Physics, Computer Science, Statistics or related technical field • 7+ years of hands-on experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques • Strong proficiency in advanced data science tools such as R, Python, SQL, Spark and H2O • Familiarity with wrangling large datasets with big data tools such as Hadoop, Hive and Spark • Experience applying computational algorithms and statistical methods to structured and unstructured data • Experience combining analytic methods with advanced data visualizations using, for example, Tableau, Shiny or D3 • Expert ability to breakdown and clearly define problems • Strong ability to communicate highly technical results to a diverse audience Careers with Optum. Here’s the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world’s large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life’s best work. All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy
Data Scientist #Contract # Remote/Tempe,AZ Contract - 6-9-months Skills: Python , Mem SQL, Data Eng , Hands on AWS Required Good to have R, AWS EMR, LOOKR • Proficient in one or more programming languages such as Python, Java, Scala, and R • Familiar with one or more machine learning or statistical modeling tools such as R, scikit learn, and Spark MLlib • Practical experience with distributed data platforms: Map/Reduce, Hadoop, SPARK • Knowledge and experience working with relational databases and SQL; Demonstrated flexibility in working with large, complex, and ambiguous datasets • Enhance our machine learning software with the latest in machine learning algorithms • Work successfully in a highly cross-functional environment • Strong analytical and quantitative problem solving ability. • Excellent communication, relationship skills and a strong teammate. • Engineer to put your research into practice • Take ownership of a system that is the core of our intelligence products •... Experience on Data visualization tools such as Tableau and Power BI
Job Description Ayata is developing its Prescriptive Analytics® software by integrating the latest Artificial Intelligence (AI) and related technologies. We are looking for people with multi-disciplinary skills, especially in software design and artificial intelligence, who can write solid clean code and who are excited about applying those skills to build industrial strength software. You'll be part of a multi-disciplinary team working to design, develop and implement our unique software. Your contributions will directly impact the success of the company. Job Responsibilities and Duties Ayata is looking for experienced Senior Data Scientist with Extensive Industrial Experience who will develop machine learning models for business applications and build cloud-based AI software for predictive analytics business solutions. Responsibilities: • Lead model development, providing methodology, strategy, ideas, architect, and solutions for real-word, industrial-scale and mission-critical... business operations • Develop AI/ML models for business applications • Build and integrate models into a full-functioning AI business software • Interact with business clients, understand business requirements, propose AI software solutions to meet the business requirements, deliver and present AI software to clients • Understand the data set used for the modeling, prepare and preprocess data sets, train and test models and perform model feature engineering • Document data dictionary, data understanding, modeling strategy and approaches, and build company's knowledge base of data and models • Communicate effectively with team members, management, and clients Requirements • Proven ability to work with large structured and unstructured datasets • Demonstrable, hands-on experience in developing advanced analytics algorithms/models, including time series forecasting, machine learning and deep learning, image processing, natural language processing, and speech recognition • Excellent hands-on code development skills in Python • Good Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, MXnet, Scikit-Learn and cloud technology (Amazon, Azure, etc.) • Experiences in Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing • PhD degree in Mathematics, Statistics, Computer Science, or related disciplines • At least 3 years of Artificial Intelligence • At least 3 years of Machine Learning • Background in Property and Casulity Insurance a big plus! Additional Qualifications • Parallel and distributed processing experience is a plus • Expertise in data Extraction Transformation and Loading (ETL) is a strong plus (Spark, Hadoop, SQL) in big data environments. • Domain knowledge in financial and insurance industries is a big plus The candidate must be able to work out of the Houston Texas office but remote work will be considered for extremely strong candidate Relocation reimbursement is available for the right candidate You must have a PHD to be considered for this position. Benefits • Compensation package (base salary + performance bonus + stock options) commensurate with experience. • Industry (tech/software industry) standard benefits package - medical, dental, vision, 401(k) plan, work-from-home (if applicable), flexible holidays, and more. • but remote work will be considered for extremely strong candidate
Sartorius Stedim Data Analytics, a market leader in advanced analytics and provider of Umetrics Suite of Data Analytics Solutions, is on a strong growth path driving new innovative solutions in the field. It currently has an outstanding opportunity for a Senior Data Scientist to drive customer applications, support the Sartorius sales teams and feedback customer needs into the development of new solutions. The incumbent for this key role will have a strong customer focus to help secure innovation and growth from both new and existing customers. What you can look forward to • Assisting customers in solving business related problems using advanced data analysis and data driven technologies • Supporting implementation of advanced analytics in industry • Analyzing large amounts of data and building data driven models • Initiating, leading and driving customer projects • Training customers on the use of our software • Supporting sales (pre/post) • Supporting marketing & development •... Performing regular follow up with customers to track satisfaction, secure project momentum and discover additional opportunities • Creating technical documents • Attending and presenting at conferences, seminars and forums • Developing & cultivating strong relationships with external and internal stakeholders • Being part of a team of data scientists Skills and experience • Minimum a master’s degree in a relevant field (engineering, life sciences, informatics, automation/control, etc.), Ph.D. preferred • Minimum five years’ work experience within Biopharma or Pharma • Minimum five years’ working knowledge of applied statistics including MVDA, DOE, MSPC, PAT, QbD, Model Predictive Control (MPC), MMPC, AI/Machine learning • Strong bioprocess knowledge preferred • Familiarity with Umetrics Suite of Data Analytics Solutions preferred (MODDE, SIMCA, SIMCA-online, Control Advisor, Active Dashboard) • Working knowledge of prescriptive analytics preferred • Working knowledge of Python scripting preferred • Working knowledge of MATLAB, data historians and control strategies a plus • Teaching, consulting and project management experience preferred • Excellent communications skills, strong presentation skills • Comfortable working independently • Comfortable working from home office, willingness to travel (~25%) • Strong identification with Sartorius core values: sustainability, openness, enjoyment Driving our future growth requires talented people. Sartorius is a dynamic organization suited to people who want to showcase skills, be recognized for expertise and thrive in a vibrant and innovative environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans. Please view equal employment opportunity posters provided by OFCCP here https://e-verify.uscis.gov/esp/media/resourcesContents/EverifyPosterEnglish.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/EverifyPosterSpanish.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/WebBPPOSTERRtoWEnglishversion.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/WebBPPOSTERRtoWSpanishversion.pdf Interested? Driving our future growth requires talented people. Sartorius is a dynamic organisation suited to people who want to showcase skills, be recognised for expertise and thrive in a vibrant and innovative environment. To find out more about Sartorius as an employer visit us on Sartorius Careers Become part of our global team
Job Description GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework. As a Data Scientist, you will be a member of this diverse and highly skilled team. On any given day, you may be exploring new data sets with a business or IT partner, learning the intricacies of a business process, building models, or coordinating the productionalization of a model. You will use a variety of tools (including SQL, Python, R, Spark, and shell scripting) in a variety of... environments (including various databases, Linux servers, and Hadoop). You'll work in a highly collaborative, team environment where you will quickly develop wide ranging exposure to new methods and best practices for conducting data science in a commercial environment. Expected Qualifications: • Bachelor's degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. Advanced degree strongly preferred • 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analytics • Solid understanding and experience with advanced statistics and modern machine learning predictive techniques such as GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, etc. • Strong coding skills using common data science tools, such as Python (strongly preferred), R, Linux/Unix command line and shell scripting, etc. • Strong skills in data processing using SQL, Hive, Impala, Spark, or equivalent querying language • Familiarity with distributed storage and big data computing technology (AWS, Hadoop, Spark, etc.) • Excellent communication skills • Passion for extracting hidden insights and building machine learning systems that enhance business outcomes Note: The safety of our associates, both current and future, is GEICO's highest priority. At this time, most of our associates are working remotely due to the current COVID-19 pandemic. Candidates who are selected for this position will be trained remotely and must be able to work from home in a designated work area. Once GEICO determines it is safe for associates to return to the office, candidates may be required to work in our Chevy Chase, MD office. About GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: • 401(k) and profit-sharing plans • Medical, dental, vision and life insurance • Paid vacation, holidays and leave programs • Tuition reimbursement • Associate assistance program • Flexible spending accounts • Business casual dress • Fitness and dining facilities (at most locations) • Associate clubs and sports teams • Volunteer opportunities • GEICO Federal Credit Union • Benefit offerings for positions other than full-time may vary. GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers. How to Apply Click "Apply for Job" to complete your application. You will need an active email address and phone number. Please upload your resume, preferably as Word .doc files or PDF. Once you begin your application you can save it and access it later. Your application should include any work and/or internship experience from at least the past five years. #LI-JW1
Job Description GEICO's Data Science team uses predictive analytics and innovative machine learning models to create value from data. We solve problems across GEICO, from Marketing to Claims and Underwriting, and are responsible for developing and driving strategic modeling initiatives. We see our projects through the entire data science lifecycle, from problem definition to data exploration, data munging, modeling, analysis, and deployment into production systems. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework. As a Senior Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You'll synthesize large datasets and solve complex problems through the use of advanced machine learning and statistical modeling. You'll work in a highly... collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization. Expected Qualifications: • Advanced degree in a quantitative discipline, such as statistics, data science, computer science, mathematics, engineering, physics, etc. • 4+ years of experience in designing, developing, evaluating, and deploying predictive modeling, machine learning, advanced analytics • Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics. • Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting. • Excellent skill and significant experience in data processing using SQL, Hive, Impala, Spark, or equivalent querying language • Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark • Excellent communication skills and experience in working with stakeholders • Passion for extracting hidden insights and building machine learning systems that enhance business outcomes Note: The safety of our associates, both current and future, is GEICO's highest priority. At this time, most of our associates are working remotely due to the current COVID-19 pandemic. Candidates who are selected for this position will be trained remotely and must be able to work from home in a designated work area. Once GEICO determines it is safe for associates to return to the office, candidates may be required to work in our Chevy Chase, MD office. About GEICO For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including: • 401(k) and profit-sharing plans • Medical, dental, vision and life insurance • Paid vacation, holidays and leave programs • Tuition reimbursement • Associate assistance program • Flexible spending accounts • Business casual dress • Fitness and dining facilities (at most locations) • Associate clubs and sports teams • Volunteer opportunities • Benefit offerings for positions other than full-time may vary. GEICO is an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers. How to Apply Click "Apply for Job" to complete your application. You will need an active email address and phone number. Please upload your resume, preferably as Word .doc files or PDF. Once you begin your application you can save it and access it later. Your application should include any work and/or internship experience from at least the past five years. #LI-JW1
Position: Sr Data Scientist Role REMOTE Duration:- Long Term Job description: • Minimum 10 year of experience in IT with Data Science with strong development experience. • Strong proficiency in natural language processing and applying it to practical real-world problems and Python or R, AWS, AI Sagemaker, ML. • Strong proficiency in advanced data science tools such as R, Python, SQL, Spark • Familiarity with wrangling large datasets with big data tools such as Hadoop, Hive and Spark • Experience applying computational algorithms and statistical methods to structured and especially unstructured data • Expert ability to breakdown and clearly define problems • Strong ability to communicate highly technical results to a diverse audience
Our Property Management client is seeking a qualified Data Science Manager with the following 3+ years managing direct reports, Proven experience leading high-performing teams. Manages a team of Data Scientists with varying levels of experience and skill sets. Bachelorrsquos degree in Business, Statistics or related field. (Masters Preferred) Experience using creative and innovative analytical approaches to solve challenging business problems. Experience in translating statistical analysis into compelling stories that inspire action Syfter is a staffing firm headquartered in Manhattan, NY, that provides creative solutions for clients and talent nationally. Our team of experts works tirelessly to create great connections industry-wide, and after decades in the industry, we deliver best-of-breed methodology for the best hiring experience.
Optum Payment Integrity Analytics is looking to expand and is seeking a Director of Data Science to join our team and help us reach our goals of accurate and effortless payments of claims through advanced analytics and machine learning. You should be an exceptional disciplined and self-motivated Data Science manager with predictive modeling and advanced analytics experience and a passion for working with healthcare data, experience using various computational approaches, and a portfolio of projects you can show and talk about. You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: • Improve and extend the analytic methods in our products • Mentor and manage junior members of the team • Work alongside other data scientists, engineers, and project managers to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and... modeling, model deployment, performance tracking and documentation • Conduct hands-on data analysis and predictive analytics on large datasets • Effectively communicate complex technical results to business partners • Support and drive analytic efforts around machine learning and innovation • Work with a great deal of autonomy to find solutions to complex problems You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in
100 Remote fulltime role Data Science Consultant with healthcare domain expertise, analyze Healthcare claims data leveraging Data Science models to develop new audit Proof of Concept tools visualizing them through Tableau. Productize these working w Tech and non-tech teams. Expertise in Python, SQL Tableau and Machine Learning Models. Data Scientist Product Analyst - Healthcare Our Healthcare client makes the healthcare system work better for everyone fighting fraud, waste, and abuse so people have access to healthcaremdashnow and in the future. Using innovative technology and powerful data analytics, our client helps government and commercial payers reduce costs, increase quality, and achieve regulatory compliance. Each year, they save end-customers billions of dollars while helping people live healthier lives. At our client, you will develop new skills and build your career in a dynamic industry while making a difference in the lives of others. We are seeking a talented Data... Scientist to develop and execute data-driven research supporting data science initiatives. This role is integral to the development and creation of both ad hoc analytic projects and the long term development of machine learning models and system-wide applications supporting both improved business and clinical outcomes. Candidates will be considered based on their ability to design modeling solutions that predict healthcare consumer behaviors and derive insights from big data. This role will support the design, testing, and implementation of customer segmentation, clinical propensity modeling, and numerous other projects. Candidates must be able to clearly communicate the results to non-technical users and be detail-oriented. Candidates must possess a strong understanding of data modeling (supervised and unsupervised), clinicalclaims data analysis, actuarial, healthcare quality reporting, andor actuarial data analysis. Essential Responsibilities Analyze Healthcare data leveraging Machine Learning models to develop Proof of Concept tools for Healthcare audit, visualizing the results through Tableau. Uses advanced analytics to identify overpayment opportunities Works with other data scientists and engineers to develop and implement technological improvements that will support the audit process Productize these Proof of Concepts working w Tech and non-tech teams. Work with stakeholders to identify business requirements and the expected outcome Collaborate with subject matter experts to select the relevant sources of information Determine project plans, timelines, andor technical objectives for statistical aspects of healthcare data analytic processes, applying valid statistical techniques and using information obtained from baselines or historical data to structure uncompromised and efficient analyses. Become an expert in health care datasets Design experiments, test hypotheses, and build models Develop analytic studies with the aim of delivering immediate and actionable insights to business users Work in iterative processes and validate findings Produce new and creative analytic solutions that will become part of core product deliverables Review provider contracts to identify algorithms for the identification of contractual based overpayments Perform scoping analysis and development of new overpayment algorithms Applies knowledge of provider billing and patient accounting practices to research client policy and data to reveal new overpayment recovery opportunities. Works with other team members, clinical staff, and key stakeholders to identify new overpayment issues for each client Review of health insurance claims data and member eligibility information to uncover claims overpayment trends associated with non-compliance or misapplication of contract terms and rates, payment policies, medical policies, billing guidelines, and applicable regulatory requirements Ensures individual and departmental goals are consistently met or exceeded, in collaboration with other team members and management Documents result and supports the preparation of internal and external documentation and presentations related to research and new overpayment issues Works with internal operations, Technology and clinical teams to develop, implement, review and audit protocols and internal review guidelines Reviews IT programming results for quality assurance and proof of concept validation Contributes new ideas for improving existing audit processes and audit queries. Works cohesively with the entire audit team and internal clients Develops, maintains, and ensures adherence to multiple project schedule Knowledge, Skills, and Abilities 5-7 years of experience Python, SQL Tableau are critical Must-haves. Strong experience in Machine Learning models (supervised unsupervised). Healthcare data and experience strongly preferred BI experience using Tableau highly desired Experience in Data science tools like SciKit, Keras, Data Robots. Exposure with Big Data Technologies (Hadoop, Teradata, Spark). Knowledge of Medicaid, Medicare, and Commercial policy and reimbursement. Must have demonstrated knowledge of healthcare claims processing (Medicaid, Medicare, Commercial Insurance), including ICD-10-CM codes, HCPCS codes, CPT codes, DRGs, etc Healthcare reimbursement experience such as provider contract development, healthcare claims analysis, medical billingcoding, patient accounting, claims to audit, andor revenue cycle improvement required Tableau Certification highly desirable Excellent conceptual and analytical skills Excellent writing skills, ability to develop presentations, brief proposals, protocols, and review guideline documents. Outstanding work-flow management. Strong sense of ownership, urgency, and drive Ability to work under pressure while managing competing demands and deadlines Minimum Education Bachelorrsquos degree preferred
Our client is seeking a Sr. Data Scientist to join their team. This will join their R&D Team working on projects ranging from AWS cloud to Artificial Intelligence to Machine Learning to Web to Mobile. They are looking for a Sr. Data Scientist with good experience building data pipelines, with data statistics/visualization, and machine learning. All candidates must be authorized to work in USA. This can be mostly remote, but must be close enough to San Diego (or willing to relocate) to come into the office 1 day per week. 12 month+ contract with HIGH potential to convert to full time. Position Summary We are focused on finding a Data Scientist who is a quick and voracious learner, open minded, curious, and loves the process of collecting; processing; augmenting; statistically modeling; and organizing data. Candidates should have advanced skills in Python. This position is responsible for helping define our dataset creation, working on data ingestion pipeline, cleaning... augmentation, database development such that subsets associated with specific metadata can be accessed, statistical modeling of the data, and ultimately assisting in the model development/testing, and visualizations. As our dataset includes video/audio data, a background in image/audio processing is key.  Minimum Qualifications • BS or MS in Data Science, Statistics, Computer Science w/Machine Learning, or a related quantitative field • You have 3+ years of related experience as a Data Scientist, with a proven record of analysis and research that positively impacts your team • Solid background in at least one area of machine learning and/or AI research • Experienced in developing tools to ingest, merge, and clean data sets • Experienced using scripting languages on a daily basis (SQL, Python, etc.) • Proficient with common data science toolkits, such as Pandas, TensorFlow, NumPy. • Proficient with visualization software/tools such as Python, R, D3.js, Spotfire, Tableau, etc. and creating strategy recommendations • Experienced building data science models (Regression, Decision Trees, K-Means, Segmentations, etc.) • Experienced dealing with large data sets (especially visual data) • Knowledge of traditional NLP applications such as: entity extraction, document classification, TFIDF, tokenization, and topic modeling. • Knowledge of modern NLP techniques such as Word2Vec, RNNs, CNNs, LSTMs, and Transformers. • Knowledge and experience with ontologies, taxonomies, semantic meaning representation frameworks and other relations between concepts. • Experience with machine learning algorithms, including: random forest, SVM, boosting, neural networks, etc. and/or Natural Language. • Experience with source code control (Git) • You possess excellent communication skills and the ability to clearly communicate technical concepts to a non-technical audience
**Data Scientist** • *Description** We are the worlds learning company with more than 24,000 employees operating in 70 countries. We combine world-class educational content and assessment,powered by services and technology, to enable more effective teaching and personalized learning at scale. We believe that wherever learning flourishes so do people. _Since 1993, Pearson OPM partnerships have helped great institutions grow online. Weve helped them launch their first online programs, progress from bachelors to masters degree programs, or layer on new specialties for faster career progress. We help institutions serve high-demand areas such as nursing, counseling, speech pathology, business, IT, and cybersecurity. We work with individual schools, or across the entire university. We build partnerships based on revenue share, fee-for-service, or co-investment. Whatever form the relationship takes, were in it for the long term, to sustain success for_ _everyone_ _._ • *At Pearson we value... diversity and inclusion** • *We value the power of inclusive culture, so we embed diversity and inclusion in everything we do.** • *Pearson promotes a company culture where differences are embraced as strengths, opportunities are equal and accessible, consideration and respect are the norm, and all employees are given the chance to reach their full potential.** • *Through our talent, we believe that diversity and inclusion make us a more innovative and vibrant company. People are at the center of our company. We are committed to a sustainable environment and workplace ecosystem where talent can learn, grow, and thrive.** • *To learn more about Pearsons commitment to a diverse and inclusive workforce please click here** **The Power of Difference** at https://www.pearson.com/careers/diversity-and-inclusion.html • *Summary** Main responsibilities include: analysis of data sets to determine suitability for model building; identify opportunities for operational enhancements; variable creation and selection; experimentation with algorithms; performance analysis and presentation for communication with internal use. The Data Scientist creates, tests and validates hypotheses for business problems. Able to work with subject matter experts in a business areas; has some knowledge of business strategy/execution. Identifies approaches to improve the accuracy and effectiveness of analytical models. Understands and prepares data for analysis by applying knowledge of data sources and how they are gathered, stored and retrieved as well as manipulating large volumes of data. Able to effectively use key analytics tools to design, develop and apply appropriate statistical and mathematical techniques to solve business problems as well as to create repeatable, automated processes. Familiar with several data and big data tools. Creates visual presentations of analytics results and sometimes translates quantitative insights for a non-technical audience. Works with target users to deploy analytics solution. In addition to broad and deep data and analytics skills, the data scientist has strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Incumbents also advise on and select the business problems that have the most value for the organization. Incumbents are typically not found within a functional area or tied to an individual project, but rather are experts who are able to address problems across the organization. Uses applied analytics to enable data driven decisions by applying innovative analytic techniques and providing exploratory research and analysis. • *General Responsibilities** • Work with stakeholders to elicit, analyze, specify, document, communicate and validate business analytics requirements including operational performance metrics and KPIs. • Work with IT to identify, provision, and structure data from internal, transactional systems and external, third-party appended data sources to support business analytic discovery, visualization, modeling, and reporting/presentation. • Help improve and streamline processes regarding data flow and data quality to improve business analytics accuracy, viability and value. • Collaborate in the development of analytical insights and capabilities and ensure alignment of these capabilities to business intelligence strategies and roadmaps. • Identify, analyze, and interpret trends using statistical techniques • Lead design and support development of internal operational and external business partner KPI dashboards and analytical reports using visualization and reporting tools. • Provide support for on-going analytical performance reports that drive operational decision-making and provide ad-hoc or special reports as dictated by business needs • Aid in the development of best practices used in business metrics analysis. • Act as a liaison on business analytics initiatives between cross-functional stakeholders; draft communications and provide initiative updates • Support process improvement discussions with stakeholders informed by analytical insights • Participate in business partner-facing presentations and meetings as needed • *Qualifications** • Bachelors of Science in Physics, Applied Math, Statistics, Engineering or related degree or equivalent experience. Graduate degree heavily preferred. • Up to 2 years of experience in optimization/operations research projects, either academic or industrial • Ability to demonstrate strong analytical and problem-solving skills with real-life datasets, and be able to abstract mathematical models from real-life problems • Strong coding skills in Python, R, or other scripting language with experience in delivering production-ready code. Strong knowledge of Google BigQuery. • Fluency in SQL development. • A solid understanding of statistics • Ability to prioritize and manage projects to completion without guidance • Strong communication skills • Translates data and information into clear, professional reports and analyses that offer insightful interpretation • *Supervisory Responsibilities** : None Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply. • *Primary Location:** US-RE-Remote • *Work Locations:** US-Remote Remote • *Job:** General Business Operations • *Organization:** North America • *Employee Status:** Regular Employee • *Job Type:** Standard • *Shift:** Day Job • *Job Posting:** Jun 25, 2020 • *Job Unposting:** Ongoing • *Schedule:** Full-time Regular • *Req ID:** 2006436 Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply
Data Science Internship IMVU is looking for an Intern to work as a part of IMVU’s Data Science team This is a short-term project based position: • The project is expected to be last for the summer 2020 with the possibility of some limited follow-on part time work in the fall of 2020 • The role involves the following high level tasks: • Transfer Tableau data sources to Presto on AWS from on-premises Hive tables (~200 data sources) • Make dependent worksheets to point to those new Presto AWS data sources (~150 worksheets) • Test the workbooks (check titles, check data is correct, update filters etc.) and if needed troubleshoot • Assist the Data Science team members in their projects, interface with the team’s stakeholders and the Data Engineering team • Members of IMVU’s Data Science team will work closely with the intern providing required knowledge and training • The candidate will be exposed to both Big Data technologies, and AWS based cloud solutions To be successful as a Data... Science Intern: Tableau Developer you should have: • A broad understanding of the business technology landscape, the ability to design reports, and strong analytical skills • An aptitude for using computers, strong written and verbal communication, and proficiency in reporting analysis tools • Strong desire to learn new skills and broaden one’s skill set Position requirements: • Pursuing a degree or secured one in Computer Science, Information Systems, Mathematics, or related field • A solid understanding of SQL, relational databases, and normalization • Proficiency in use of query and reporting analysis tools • Competency in Excel (macros, pivot tables, etc.) • Experience in developing, maintaining and managing Tableau driven dashboards & analytics and working knowledge of Tableau administration/architecture is desired. Bonus points for Tableau certification(s) ABOUT US IMVU, the #1 avatar-based social network welcomes users to join a never-ending world where anything is possible, including connecting with people from all over the world. It's here that the fun is infinite and reality is limitless. The IMVU Virtual Shop is the largest of its kind, with an inventory of more than 20 million user-generated, VR-ready goods and growing everyday. From collections that include the hottest trends and throwback sneakers to fairy wings and couture gowns, the marketplace allows our users to personalize, customize and stylize their 3D avatars and environments to their hearts' content. With over Five million unique users every month, our platform is poised for future growth and available on desktop, tablet and mobile devices. Founded in 2004 and based in the heart of Silicon Valley, IMVU is led by a team that's dedicated to pioneering the virtual reality industry. IMVU is backed by venture investors Menlo Ventures, Allegis Capital, Bridgescale Partners and Best Buy Capital. IMVU has been recognized frequently as Best Place to Work in the Silicon Valley. HOW TO APPLY • Please try out our core product before you apply. We’d like you to understand our products and have some understanding of our customers. • Please include a cover letter. Make sure to discuss why you are interested in learning more about IMVU. Job applications without cover letters will not be considered. IMVU is an equal opportunity employer; applicants are considered for all roles without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law
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