Data Scientist

Back to Career Site

Our Mission is to Make Healthcare Right. Together. Built upon the belief that by connecting and aligning the best local resources in healthcare delivery with the financing of care, we can deliver a superior consumer experience, lower costs, and optimized clinical outcomes.
What drives our mission? The company values we live and breathe every day. We keep it simple: Be Brave. Be Brilliant. Be Accountable. Be Inclusive. Be Collaborative.
If you share our passion for changing healthcare so all people can live healthy, brighter lives – apply to join our team.

Data Scientists at Bright work with teams across the organization to design and build data-driven solutions. Bright Data Scientists will use advanced analytics to enhance Bright’s health intelligence platform: improving member health, increasing affordability, and making care simpler and more personal. Examples of DS initiatives include:
· Building predictive models for early identification and population... stratification
· Optimizing targeting for clinical programs
· Developing metrics for measuring healthcare quality, outcomes, and network performance

Though individual contributors, Data Scientists must have strong leadership capabilities and experience working in a matrixed environment, with the ability to drive successful development of analytics that support multiple needs throughout a complex and growing organization.

ROLE RESPONSIBILITIESBuild, maintain, monitor, and improve machine learning (ML) models to solve business problems
Collaborate with technology teams (e.g. Data Engineering) to deploy solutions into production environments
Operate in an evolving data environment with a mixture of stable/traditional and new/nontraditional data sources
Work with business stakeholders and members of Product team to identify and evaluate data science opportunities and develop project plans

EDUCATION, TRAINING, AND PROFESSIONAL EXPERIENCEBSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
Four (4)+ years of progressive data analytics experience
Highly proficient in transforming data with SQL
Must have experience with either Python or R
Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
Highly proficient in building machine learning models with Python (NumPy, pandas, scikit-learn)
Highly proficient in using descriptive and inferential statistics to analyze datasets
Must have experience working with healthcare data, specifically medical and pharmacy claims

PREFERRED QUALIFICATIONSExperience building models with deep learning libraries (Tensorflow, Pytorch)
Experience transforming large datasets with Spark (PySpark, Scala)
Experience with business intelligence tools (e.g. PowerBI)

We’re Making Healthcare Right. Together.
We are realizing a completely different healthcare experience where payors, providers, doctors, and patients can all feel connected, aligned and unified on the same team. By eradicating the frictions of competing needs, we are making it possible to give everyone more of what they want and deserve. We do this by:

Focusing on ConsumersWe understand patient pain points, eliminating complexity while increasing transparency, for greater access and easier navigation.

Building on AlignmentWe integrate and align individual incentives at all levels, from financing to optimization to delivery of care.

Powered by Technology
We employ our purpose built, integrated data platform to connect clinical, financial, and social data, to deliver exceptional outcomes.

As an Equal Opportunity Employer, we welcome and employ a diverse employee group committed to meeting the needs of Bright Health, our consumers, and the communities we serve. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law