Lead Data Scientist - Retail Strategic Health Analytics

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

The Lead Data Scientist will play a critical role in developing, scaling, and deploying best‑in‑class forecasting models that drive merchandising category forecasting and decision‑making. This role sits within a high‑impact data science team responsible for translating complex transactional and behavioral data into accurate, actionable forecasts that inform financial, labor, and promotional strategies.

The Lead Data Scientist will own end‑to‑end model development, from problem formulation and feature engineering through validation, deployment, and ongoing performance monitoring, while providing technical leadership and mentorship to other data scientists.

Required Qualifications

• 7+ years of professional experience in data science, applied statistics, or machine learning
• Hands‑on experience developing time series forecasting or predictive models in a production environment
• Proficiency in Python for data analysis and model development
• Experience working with SQL and large, structured datasets
• Demonstrated experience applying statistical or machine learning techniques (e.g., regression, tree‑based models, time series models)
• Experience deploying, maintaining, or operationalizing models in partnership with engineering or analytics teams
• Previous experience in a lead or senior individual contributor role, owning model design and technical decisions

Preferred Qualifications

• Strong problem‑solving skills with the ability to translate ambiguous business questions into well‑defined analytical problems
• Experience influencing stakeholders and communicating model insights to non‑technical audiences
• Background in finance, retail, or demand forecasting domains
• Experience mentoring junior data scientists or providing technical leadership across projects
• Familiarity with model monitoring, performance drift, and iterative model improvement
• Ability to balance statistical rigor with pragmatic business constraints and timelines

Education

Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or a related discipline.

Master’s degree preferred.

Pay Range

The Typical Pay Range For This Role Is

$130,295.00 - $260,590.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great Benefits For Great People

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 05/31/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.