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Humana

Lead Data Scientist

Humana

Lead Data Scientist overseeing analytical frameworks and predictive models to inform strategic decisions at Humana. Collaborating with executives to elevate data-driven decision-making and impact growth initiatives.

Posted 6/24/2026full-timeRemote • Kentucky, North Carolina, North Dakota, Ohio, Oklahoma • 🇺🇸 United StatesSenior💰 $142,300 - $195,700 per yearWebsite

Tech Stack

Tools & technologies
NumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact
  • Manage data science solutions from end to end, including business problem definition, data exploration, model development, insight generation, and presentation to senior leadership.
  • Develop forecasts to project member eligibility, program volumes, and operational capacity needs.
  • Identify and evaluate leading indicators that signal future performance, risks, or opportunities.
  • Assist in developing benchmarks, targets, and goals to support program planning and performance management.
  • Measure program effectiveness and quantify business impact.
  • Create segmentation models to support targeted outreach, intervention planning, and member-level prioritization.
  • Build and deploy machine learning models in a cloud-based environment using tools such as Python, PySpark, and SQL.
  • Model care gap closure opportunities and assess potential impact on HEDIS Stars measures.
  • Translate complex data, modeling approaches, and analytic findings into clear insights for non-technical leaders and stakeholders.
  • Collaborate with business partners, data science peers, technology teams, and operational stakeholders to deliver scalable analytic solutions.

Requirements

What you’ll need
  • Master's Degree and 4+ years of experience
  • 2 or more years project leadership experience
  • Experience in healthcare analytics - Population Health, Medicare Advantage, Stars, HEDIS or quality measures.
  • Experience applying mathematics, statistics, machine learning, and predictive modeling to complex business problems.
  • Proficiency with Python, PySpark, and SQL.
  • Experience working with large datasets in a cloud-based analytics environment.
  • Experience developing forecasting, segmentation, and predictive modeling solutions.
  • Business analysis and consulting skills, with the ability to connect analytic work to business strategy and measurable outcomes.
  • Experience presenting technical concepts and analytic insights to non-technical audiences, including senior leaders.

Benefits

Comp & perks
  • 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

ATS Keywords

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Hard Skills & Tools
data scienceforecastingsegmentation modelingpredictive modelingmachine learningstatisticsmathematicsdata explorationmodel developmentprogram effectiveness measurement
Soft Skills
project leadershipbusiness analysisconsultingcommunicationcollaborationinsight generationpresentation skillsproblem definitionperformance managementstakeholder engagement
Certifications
Master's Degree