Lead Data Scientist

Humana
$142,300 - $195,700Remote

About The Position

Become a part of our caring community At Humana, we are committed to improving health outcomes by harnessing data to inform strategy and guide decision-making. Our analytics team supporting HEDIS Stars measures and Population Health is looking for a Lead Data Scientist to focus on In-home programs and initiatives. This role is ideal for someone with strong analytical curiosity who is energized by exploring complex data, uncovering insights, and building strategies that support measurable healthcare outcomes. The Lead Data Scientist will support Humana's In-Home Programs by developing advanced analytics solutions that help improve member engagement, close gaps in care, and support Stars performance. This is a remote work opportunity; however, the role will align to Eastern Standard Time business hours. The Lead Data Scientist uses mathematics, statistics, predictive modeling, business analysis, and technology to transform large volumes of complex healthcare data into actionable analytic solutions. In this role, you will support healthcare operations with an ability to move forward even when complete information is not available. You will do this by building member-level predictive models, developing segmentation strategies, forecasting eligibility volumes, modeling care gap closures, and evaluating the impact of in-home initiatives on Stars performance. You will partner closely with Stars business leaders, Population Health stakeholders, and analytics teammates to connect In-Home Program strategies with broader Stars measure priorities.

Requirements

  • 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.

Nice To Haves

  • Experience developing member-level predictive models or intervention targeting strategies.
  • Familiarity with Agile ways of working by adapting to changing priorities.
  • Experience measuring program effectiveness, defining leading indicators, and developing performance benchmarks.

Responsibilities

  • 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.
  • Use your skills to make an impact

Benefits

  • medical
  • dental
  • 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
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