Senior Data Scientist

Position Type :
Full time
Type Of Hire :
Experienced (relevant combo of work and education)
Education Desired :
Bachelor of Computer Science
Travel Percentage :
0%

Job Description
Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.

What you will be doing:
As a Data Scientist you will use quantitative and statistical methods to extract data and insights from structured and unstructured data. Leverage machine learning, statistical modeling, and quantitative analysis to create smarter, data-driven products.
Employ machine learning and statistical modeling to create and enhance data driven products
Analyze and extract insights from internal and external data
Work with Big Data and transform complex datasets into... more usable formats
Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL
Work independently and collaborate with other groups to solve complex problems
Create and present analyses to internal and external partners and clients
Document models and write code to track and monitor models and product performance
Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs

What you bring:
Experience with Python; solid knowledge in SQL.
Experience with cloud-based development environments (AWS preferred)
Hands on experience with classical ML models, test/train/evaluation metrics, key parameters/techniques that affect model performance
Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets.
Experience with Topic Modeling and processing of large text data sets
Familiarity and experience with more recent deep learning models and NLU (e.g., Transformer-based models, BERT, ELMo, ULM-FiT).
A business analytical mind; ability to communicate with consumers of the model and present results in intuitive ways.
Experience analyzing data to identify patterns and conducting error/deviation analysis; passion for fixing issues in the data and finding the optimal representation.
Ability to take a project from scoping requirements through actual launch.
A continuous drive to explore, improve, enhance, automate, and optimize models and products.
Excellent oral and written communication skills.
Bachelor’s degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or any other related field.

Added bonus if you have:
Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Strong attention to detail and exceptional level of organization
Proven ability to achieve results in a fast paced, highly collaborative, dynamic work environment
Hands-on expertise in many disparate technologies and the full model lifecycle, typically ranging from data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, ad-hoc tooling and all points in between.
Cloud ML certification (e.g., AWS ML Specialty certification)
Experience with AWS Sagemaker
PhD in a relevant field (Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics or a related field)

What we offer you:
A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
The chance to work on some of the most challenging, relevant issues in financial services & technology
A fantastic range of benefits designed to help support your lifestyle and wellbeing
Varied and challenging work to help you grow your technical skillset

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Privacy Statement

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EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company