Senior Data Scientist

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The Senior Data Scientist develops an understanding of complex number systems, proves theorems, and applies mathematical, statistical and epidemiologic principles to identify trends, variable associations, and cause-effect relationships in data sets across Utilization Management and Care Management. You will contribute to causal evaluation efforts by applying a practical approach and developing analyses that balance risk, rigor, and feasibility to support informed decision‑making across the enterprise.

• Partner with Utilization Management and Care Management teams to streamline workflows and improve quality metrics, patient outcomes, and provider experience.
• Translate complex analyses into actionable insights for non‑technical audiences to inform decision‑making.
• Design and execute analyses that balance statistical rigor and business feasibility to support enterprise initiatives.
• Apply statistical and epidemiologic methods to identify trends, associations, and causal drivers within healthcare datasets.
• Prepare clear documentation of methodologies, findings, and interpretations to ensure transparency and reproducibility.
• Produce technical reports, summaries, and quantitative analyses to support clinical and operational strategies.
• Contribute to peer‑reviewed publications and present findings at conferences and industry forums.

• Master’s degree in statistics, epidemiology, mathematics, or related field.
• At least 2 or more years of experience leveraging generative AI tools, methods, and evaluation approaches, including identifying high‑value business use cases, assessing technical feasibility and limitations, and applying responsible use principles.
• 5 or more years of technical experience in statistical analysis, modeling, data science.
• Experience translating ambiguous problems to testable questions.
• Expertise in designing and executing experimental and quasi‑experimental analysis with clear understanding of assumptions and tradeoffs.
• Demonstrated experience communicating findings, and the analysis and assumptions used to arrive at them, to cross‑functional stakeholders.
• Ability to travel as needed.

• Ph.D. in statistics, epidemiology, mathematics, or related field.
• Fluency in Python, R or similar software.
• Demonstrated experience leading or making meaningful contributions to quasi‑experimental analyses of real‑world data to influence decisions.
• Two years of work experience in consulting, applied research, healthcare, insurance, or related industry outside of academia.
• Demonstrated experience supporting measurement at different stages of project scale, e.g. feasibility pilots, outcomes studies, and full scaling.

• Must have the ability to provide a high‑speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
• A minimum standard speed for optimal performance of 25 Mbps download x 10 Mbps upload is required.
• Satellite, cellular and microwave connection can be used only if approved by leadership.
• A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Humana, Inc. and its affiliated subsidiaries offer competitive benefits that support whole‑person well‑being. Benefits include medical, dental and vision coverage, a 401(k) retirement savings plan, paid time off, holidays, volunteer time off, paid parental and caregiver leave, short‑term and long‑term disability, life insurance and many other opportunities.

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements.

This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our accessibility resources.