Senior Data Scientist, Medicare Stars

This is a fully remote position, open to applicants in Alabama, +41 more states.

📋 Description

• Utilize advanced mathematical and statistical techniques to address intricate business challenges that bolster HCSC’s Medicare Stars analytics strategy.

• Gather, integrate, and evaluate healthcare claims, clinical outcomes, quality metrics, provider performance, member results, and internal business-process data.

• Identify areas for enhancement in Medicare Star Ratings.

• Conduct sophisticated statistical analyses to confirm and quantify trends.

• Implement machine learning, predictive modeling, and probabilistic methods to create predictive algorithms.

• Assess model effectiveness through real-world outcomes.

• Design experiments and methodologies.

• Develop visualizations and analytical applications.

• Convert findings into actionable insights for business decisions, program improvements, and quality enhancement initiatives.

• Collaborate with teams in clinical, pharmacy, customer experience, product, and operations.

• Provide the data science perspective in cross-functional teams and contribute to decisions aimed at enhancing member outcomes, Stars performance, affordability, and enterprise value.

⛳️ Requirements

• Bachelor’s degree with 3 years of relevant experience in a mathematical, statistical, computer science, engineering, physics, economics, or similar quantitative field; OR an actuarial credential; OR a master’s degree with 2 years of experience in a related quantitative field; OR a Ph.D. in a relevant quantitative field; OR 7 years of experience in a pertinent quantitative field.

• A robust learning and growth mindset.

• Strong commitment to customer focus.

• Excellent interpersonal, verbal, and written communication abilities.

• Proficiency in at least four of the following: data analysis and relational-style query languages; machine learning and/or statistical modeling; data visualization; a high-level programming language; distributed computing; understanding of healthcare.

• Required experience with statistical software such as SAS, Dataiku, R, and/or Python.

• Statistical and/or data mining experience in propensity score modeling, multivariate regression, and machine learning.

• Understanding of healthcare data and the processes of healthcare delivery systems.

• Sponsorship is not offered.

• Must reside in the continental United States, with the exception of California, New York, Alaska, and Hawaii.

🏝️ Benefits

• Tailored development plans that promote professional growth and career advancement.

• Annual incentive bonus program.

• Comprehensive health and wellness benefits.

• 401(k) savings plan.

• Pension plan.

• Paid time off.

• Paid parental leave.

• Disability insurance.

• Supplemental life insurance.

• Employee assistance program.

• Paid holidays.

• Tuition reimbursement.

• Additional incentives.