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Humana Lead Data Scientist in Aberdeen, South Dakota


The Lead Data Scientist will be seen as the team expert on experimental designs and observational/retrospective studies, helping our Home Care Business partners design and understand the effectiveness of their interventions & core processes.


  • Come be part of a new and exciting team that is at the forefront of innovative care delivery! This is a unique opportunity for a motivated individual to influence Humana’s vision to provide coordinated, integrated care via Home & Virtual Care solutions. The Lead Data Scientist will be seen as the team expert on experimental designs and observational/retrospective studies, helping our Home Care Business partners design and understand the effectiveness of their interventions & core processes.

The ideal candidate will have experience conducting experiments of various designs in an applied healthcare setting and have demonstrated innovation and creative methods for overcoming testing constraints.


As a Lead Data Scientist, you will:

  • Design rigorous business experiments that allow confidence in results, while taking into account the complexity of testing in a large organization with legal, compliance, and other regulatory oversight

  • Work with Business Partners to clearly define hypotheses and appropriate leading indicators

  • Provide recommendations for sample sizing through power analysis

  • Apply Behavioral Economics theory to the design of interventions

  • Build strong working relationships with a variety of teams in a collaborative, matrixed environment with physical locations across the U.S.

  • Design, conduct, analyze, and provide recommendations for the interpretation of results of business experiments

  • Perform retrospective/observational studies on interventions/processes where designs may have not been implemented

  • Collaborate with other members of the data science team to coach/mentor on experimental design & research best practices

  • Be a willing learner and potential contributor to other team responsibilities, including Machine Learning, Dashboard/Visualization development, & general ad hoc requests.

Required Qualifications

  • Bachelor’s Degree in Economics, Behavioral Sciences, Applied Statistics, Engineering or related field

  • Extensive experience conducting lab or field experiments

  • Extensive experience conducting retrospective/observational studies

  • Advanced programming experience in Python, R, or SAS

  • Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions

  • Successful demonstrated experience in working on problems of diverse scope and complexity ranging from moderate to substantial

  • Experience in creating analysis, projections, models, and presentations to support business

  • Ability to exercise independent judgment and decision making on complex issues regarding job duties and related tasks

  • Ability to works under minimal supervision, using independent judgment

  • Ability to communicate statistical & complex concepts in a simplified manner

  • Strong interpersonal and consulting skills

Preferred Qualifications

  • Master’s or PhD Degree in Economics, Behavioral Sciences, Applied Statistics or related field

  • Knowledge of healthcare claims, clinical programs and interventions, health outcomes, population health

Additional Information

This position can be located in Boston, Louisville or work from home (remote)

Scheduled Weekly Hours


About Us

Mission: At Humana, our cultural foundation is aligned to helping members achieve their best health by delivering personalized, simplified, whole-person healthcare experiences. Recognizing healthcare needs continue to evolve for each person, for each family and for each community, Humana continuously creates innovative solutions and resources that help people live their healthiest lives on their terms –when and where they need it. Our employees are at the heart of making this happen and that’s why we are dedicated to building an organization of dynamic talent whose experience and passion center on putting the customer first.

Equal Opportunity Employer

It is our policy to recruit, hire, train, and promote people without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, or veteran status, except where age, sex, or physical status is a bona fide occupational qualification. View the EEO is the Law poster.

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