Lead Data Scientist
Role details
Job location
Tech stack
Job description
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.
Responsibilities
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Define and execute the analytical framework for evaluating agent and channel performance across a multichannel distribution model
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Design and implement predictive models supporting growth opportunity identification, customer experience, retention risk, and channel optimization
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Conduct program evaluation using experimental and quasi-experimental methods to establish causal impact of business initiatives
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Translate analytical findings into clear, actionable recommendations for senior leadership
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Set and prioritize the analytical agenda independently, focusing on the highest-value questions
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Operate effectively in a data environment that is not fully controlled or curated, maintaining rigor despite imperfect inputs
Requirements
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Master's degree with 4+ years of relevant experience
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2+ years of project or analytical leadership experience
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Advanced proficiency in Python (pandas, numpy, scikit-learn, statsmodels) and SQL
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Strong experience with causal inference, experimental design, or quasi-experimental methods
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Proven track record working with real-world, operational data that is incomplete or inconsistent
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Experience structuring analyses in ambiguous environments with evolving data definitions
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Ability to design and execute end-to-end analyses, from exploration through modeling and communication
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Ability to operate with minimal supervision and exercise independent judgment
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Demonstrated interest in improving consumer or customer experiences
Preferred Qualifications
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PhD
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Experience in healthcare, insurance, or other complex distribution-driven businesses is helpful, but not required
Benefits & conditions
Humana offers a variety of benefits to promote the best health and well-being of our employees and their families. We design competitive and flexible packages to give our employees a sense of financial security-both today and in the future, including:
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Health benefits effective day 1
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Paid time off, holidays, volunteer time and jury duty pay
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Recognition pay
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401(k) retirement savings plan with employer match, The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$142,300 - $195,700 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.