Data Scientist - HOS Analytics
Core
Model member-level physical and mental health trajectories to identify drivers of HOS survey performance and translate insights into targeted interventions for Star Ratings strategy.
Role type
Senior IC data scientist (health outcomes modeling)
Builds
Predictive models for health trajectory decline, survey response segmentation, and performance dashboards
Domain
Healthcare / Health Outcomes Measurement / CMS Star Ratings
Deliverable
production ML models | dashboards & analysis
Required skills
predictive modeling, longitudinal data analysis, item response theory, case-mix adjustment, statistical significance testing, cohort study design, SQL, Python/Java/R/Scala/C++, data visualization
Preferred skills
Medicare Advantage experience, functional status/frailty modeling, cloud ecosystems (Azure/AWS), academic publication in survey methodology
Technologies
Git, CI/CD, virtual machines, relational databases
Responsibilities
Build and fine-tune models predicting member-level risk of HOS composite decline; Segment members by likelihood to respond and predicted health trajectory; Analyze item-level HOS survey data to isolate performance drivers; Build pipelines tracking survey administration cycles and validate case-mix adjustment logic; Model statistical significance and year-over-year variance; Build dashboards tracking measure-level HOS performance against Star Rating cut points
Seniority
Senior, hands-on IC