Data Scientist

• No Corp-to-Corp - W2 Contracts only • Position One: Data Scientist / Machine Learning Engineer (Healthcare – Medicare Stars Program) Location: Remote Start Date: ASAP Industry: Healthcare (Payer) Team: Medicare Stars – Clinical Data & Analytics Overview Our Aetna’s Medicare Stars Analytics team is seeking a highly skilled Data Scientist / Machine Learning Engineer to support one of the most critical programs in the organization. The Medicare Stars rating system directly influences patient allocation and reimbursement—meaning even a fractional change in rating can translate into billions of dollars in impact. This team focuses on analyzing clinical and patient experience data (e.g., “Did you like your doctor?”, “Did you receive the medication you were prescribed?”) to understand the drivers behind Stars ratings and identify opportunities to improve them. We are looking for someone with strong healthcare experience, advanced analytical skills, and the ability to translate complex models into simple insights for non‑technical stakeholders. Key Responsibilities • Develop predictive models and machine learning solutions to analyze clinical and patient experience data related to Medicare Stars performance. • Conduct statistical analysis, feature engineering, and model evaluation to identify key drivers of rating outcomes. • Translate complex analytical findings into clear, actionable insights for business and clinical stakeholders. • Build, test, and deploy models into cloud environments (GCP preferred but not required). • Partner with cross-functional teams to support Stars improvement initiatives. • Present model behavior, assumptions, and outputs in a simple, accessible way to non‑technical audiences. • Participate in live coding exercises as part of the interview process and contribute to coding best practices on the team. Required Qualifications • Master’s degree or PhD in Statistics, Applied Data Science, Computer Science, or a related quantitative field. • Healthcare experience is mandatory (payer, provider, clinical analytics, quality measurement, etc.). • 2–3+ years of experience in data science, machine learning, or predictive modeling (Master’s candidates with 2–3 years are acceptable). • Strong experience with: • Predictive modeling and machine learning techniques • Statistical analysis • Python (live coding required) • Cloud deployment (any cloud; GCP is a plus) • Ability to explain complex models and analytical concepts to non‑technical stakeholders. • Experience working with clinical, patient experience, or healthcare quality datasets is highly preferred. Preferred Qualifications • Experience with Medicare Stars, HEDIS, CAHPS, or other healthcare quality programs. • Experience deploying ML models in GCP. • Strong communication and storytelling skills. • Experience working with survey data or patient experience analytics.