Data Scientist, Pharmacy (Part D Stars)
Core
Evolving the analytical engine behind pharmacy data and Part D Star measures to inform strategy and improve clinical outcomes for seniors.
Role type
Applied data scientist (healthcare analytics)
Builds
Production-ready tools, dashboards, and predictive models for Star Rating outcomes and intervention impact.
Domain
Healthcare / Medicare Advantage / Pharmacy analytics
Deliverable
production ML models | dashboards & analysis
Required skills
predictive modeling, time-series analysis/forecasting, SQL, Python/Java/R/Scala/C++, data structures & algorithms, statistical measures, experimental analytics frameworks, high-volume data analysis
Preferred skills
healthcare experience, Stars/Part D analytics, Big Data (Hadoop/Spark/Cosmos), cloud ecosystems (Azure/AWS), CMS Stars methodology
Technologies
Git, CI/CD, virtual machines, Hadoop, Spark, Cosmos, Azure, AWS
Responsibilities
Partner with leadership to propose analytical solutions; convert models into scalable tools; design dashboards for Star trajectories; build cut-point projection and simulation models; develop prioritization rules and next-best-action logic; analyze financial impact of Star performance; manage projects from definition to deployment; collaborate on model versioning and testing; standardize reporting workflows; integrate new data sources and tools.
Seniority
Mid-level, hands-on IC
