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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.

What You'll Do:

• Partner with Utilization Management (UM) 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.

Use your skills to make an impact
 

What You'll Bring

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

What Sets You Apart

• Ph.D. degree in statistics, epidemiology, mathematics, or a 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.

Additional Information

Work-At-Home Requirements

• 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 25x10 (25mpbs download x 10mpbs 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.

SSN Alert Statement

Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana's secure website.

Interview Format

As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full