Senior Data Scientist - Algorithms
We all depend on healthcare throughout our lifetimes, for ourselves, and our families and friends, but it is notoriously difficult to navigate and understand. As an industry that comprises 20% of the US economy we think healthcare should work better for all of us. At Collective Health we believe it’s time for a new day in healthcare where as members we are informed and empowered to make the right care choices when the decisions are urgent and critical.
The Data Science - Algorithms team uses ML and advanced statistical modeling to help Collective Health build smart, scalable products that are valuable to our members and clients, yet work for our business. The team brings together deep technical expertise and strong domain knowledge of claims, payments, and plan enrollment data, to arrive at technical insights on how to solve problems of noisy data processing and personalization at scale. The main areas of focus for the team are to deliver operational efficiency improvements through ML-based solutions, and to research cost-effective ways to drive better health outcomes for our members.
Members of the Data Science - Algorithms team own projects from the initial opportunity sizing and research stages, through implementation, deployment, impact assessment, and iterative refinement. Thus, we expect all team members to be able to collaborate with technical and non-technical stakeholders, define and socialize concrete action plans when faced with ambiguity and conflicting requirements, perform rigorous data analyses on large data sets, write high-quality production code, and be self-sufficient in debugging and fixing issues in distributed data processing systems.
While we are embracing a remote-flexible work week, employees are expected to be within commuting distance of an office. The frequency of in-office days will be determined on a team-by-team basis closer to the reopening of our offices.
What you'll do:
- Design scalable, safe, and self-improving solutions to increase the efficiency and speed of internal operations, including efforts to process healthcare claims data, identify and outreach patients based on clinical criteria, and evaluate the ROI of our work
- Develop, deploy, and manage models to assist in processing of ambiguous or messy claims and eligibility data
- Define metrics and experiments to assess the impact of product initiatives on internal operations, healthcare utilization, healthcare costs, and health outcomes
- Champion continuous improvement of the team's processes and tooling
- Mentor and coach other Data Scientists
- Define and supervise econometric analyses such as matched comparisons of healthcare utilization, cost, and quality outcomes using regression methods including difference-in-differences analyses, propensity score-matched comparisons, and related regression methods
- Define project roadmap through consultation and project management with stakeholders in other fields, including clinical providers of healthcare services, operations teams conducting customer service functions, and business intelligence and analytics teams delivering reports to internal and external stakeholders
To be successful in this role, you'll need:
- An advanced degree (MS/PhD) in a quantitative field such as such as computer science, statistics, operations research, epidemiology, health economics or bioinformatics
- 5 years of experience as a Data Scientist in the healthcare industry or similar
- Experience developing machine learning models from inception to healthcare business impact in a cross-functional team
- Experience performing advanced statistical analysis on healthcare data, particularly large-scale claims data
- Strong programming skills in Python and SQL
- Excellent communication skills in both technical and non-technical settings
- Versatility with modern cloud infrastructure and distributed computing (AWS, Docker, Presto, Spark, etc.)
- Experience productionizing real-time machine learning models is a plus
Founded in 2013, Collective Health has created an ecosystem of innovative partners across care and benefits delivery, as well as built a powerful and flexible infrastructure to better enable employees and their families to understand, navigate, and pay for healthcare. By reducing the administrative lift of delivering health benefits, providing an intuitive member experience, and improving health outcomes, the company guides employees toward healthier lives and companies toward healthier bottom lines. Collective Health is headquartered in San Mateo, CA with locations in Chicago, IL, and Lehi, UT. For more information, please visit collectivehealth.com.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact [email protected].