Lead Data Scientist

Humana • Louisville, KY

7d • Hybrid

About The Position

Become a part of our caring community. You will sit at the intersection of advanced analytics and distribution strategy within a complex, multichannel environment. The Lead Data Scientist owns the analytical agenda end to end, from problem framing through executive delivery. This is a decision science role, where the primary goal is to inform high-stakes decisions through a combination of causal inference, applied statistical and machine learning modeling, and structured analysis. Success requires the ability to connect technical work directly to strategic outcomes and deliver insights that are both defensible and applicable. The lead designation reflects scope, ownership, visibility, and judgment. It does not include people management at this time.

Requirements

• Master's degree with 4+ years of relevant experience
• 2+ years of project or analytical leadership experience
• Advanced proficiency in Python (pandas, numpy, scikit-learn, statsmodels) and SQL
• Strong experience with causal inference, experimental design, or quasi-experimental methods
• Proven track record working with real-world, operational data that is incomplete or inconsistent
• Experience structuring analyses in ambiguous environments with evolving data definitions
• Ability to design and execute end-to-end analyses, from exploration through modeling and communication
• Ability to operate with minimal supervision and exercise independent judgment
• Demonstrated interest in improving consumer or customer experiences

Nice To Haves

• PhD
• Experience in healthcare, insurance, or other complex distribution-driven businesses is helpful, but not required

Responsibilities

• Define and execute the analytical framework for evaluating agent and channel performance across a multichannel distribution model
• Design and implement predictive models supporting growth opportunity identification, customer experience, retention risk, and channel optimization
• Conduct program evaluation using experimental and quasi-experimental methods to establish causal impact of business initiatives
• Translate analytical findings into clear, actionable recommendations for senior leadership
• Set and prioritize the analytical agenda independently, focusing on the highest-value questions
• Operate effectively in a data environment that is not fully controlled or curated, maintaining rigor despite imperfect inputs

Benefits

• Health benefits effective day 1
• Paid time off, holidays, volunteer time and jury duty pay
• Recognition pay
• 401(k) retirement savings plan with employer match
• Tuition assistance
• Scholarships for eligible dependents
• Parental and caregiver leave
• Employee charity matching program
• Network Resource Groups (NRGs)
• Career development opportunities
• medical, dental and vision benefits
• short-term and long-term disability, life insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior