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# Lead Data Scientist

- **Company:** Humana Inc.
- **Location:** Helena, MT, United States (Remote available)
- **Experience:** Expert
- **Salary:** $142,300.0 - $195,700.0
- **Contract:** Temporary contract
- **Skills:** Python (Programming Language), Machine Learning, NumPy, Operational Data Store, SQL Databases, Pandas, Scikit Learn
- **Published:** June 26, 2026
- **Apply:** https://www.juju.com/job/00000000gb912z

## About the Role

+ 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

Preferred Qualifications

 + PhD

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

## 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

 + 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


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