remote
Senior Data Scientist - Humana
Data Scientist
Lead advanced analytics for utilization and care management, applying causal inference and machine learning to uncover insights that drive evidence‑based decision making in a healthcare environment.
About the role
Key Responsibilities
- Collaborate with Utilization Management and Care Management teams to design and execute analytical projects that identify trends, variable associations, and causal relationships.
- Develop and validate predictive models and statistical analyses using Python, R, and SQL, ensuring rigor and feasibility for enterprise‑wide impact.
- Translate complex data findings into actionable insights and visualizations for stakeholders across the organization.
- Lead causal evaluation efforts, applying advanced techniques such as propensity score matching, difference‑in‑differences, and instrumental variable analysis.
- Document methodologies, maintain reproducible codebases, and mentor junior analysts on best practices.
Requirements
- Master’s or Ph.D. in Statistics, Data Science, Epidemiology, or related field.
- 5+ years of experience in data science within healthcare or a related domain.
- Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI).
- Strong background in causal inference, statistical modeling, and machine learning.
- Excellent communication skills and ability to translate technical results to non‑technical audiences.
Skills
pythonsqlmachine learning