Senior Data Scientist - Forecasting

CVS Health • Work at Home, Massachusetts, United States • 1d ago

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

Build and extend the demand forecasting foundation behind CVS Retail's Unified Forecasting Platform, translating business requirements into testable hypotheses and measurable metrics, building predictive models to understand localized trends and the competitive environment, and measuring short- and long-term customer impacts for merchandising decisions.

Guide the technical approach,leveragelarge datasets and high-performance computing techniques to build scalable, deployment ready models that work well with CVS Retail's diverse product portfolio, and develop robust methodologies and metrics to assess model performance

Utilize the latest developments in generative models (LLMs and other AI models) to improve model performance and rethink the deployment readiness and scalability of those models

Identifyand build automation opportunities using AI agents to reduce manual effort across the broader analytics workflow

Develop andleveragein-depth knowledge of Retail Merchandising business processes, translate key drivers of business value to analytics opportunities, and simulate impact of business decisions to improve customer experience

Work cross functionally with a range of technical and non-technical stakeholders, including business partners, engineers, and other data and analytics teams, sharing progress and findings as the work develops

Present insights-driven analytical results, recommendations, and go forward planning to guide stakeholders and senior leadership

Stay up to date on thestate-of-the-artmodeling methodologies and latest research

Required Qualifications

3+years of work experience as a Data Scientist in retail, consulting, or a related field

Hands on experience with building statistical, machine learning, and deep learning models

Strong Python and SQL skills,proficiencyin working with large datasets

Experience writing modular, production ready code

Experience working with a data engineering/MLOpsteam to productionize data science models, familiarity with version control (GitLab or GitHub), and cloud-based ML platforms (Azure ML, GCP Vertex AI, or similar)

Bachelor's degree in a quantitative field such as statistics, engineering, or a related field

Willingness to learn from teammates and to provide technical direction and informalmentorship to junior data scientists, whileremaininghands-on with model development

Excellent communication and presentation skills, with attention to detail and ability to document technical decisions and model assumptions clearly enough for cross-functional and globally distributed teams to align without a live meeting

Worked in an agile environment, has the flexibility to adapt to changing business needs

Preferred Qualifications

5+years of work experience as a Data Scientist or Senior Data Scientist in retail, consulting, or a related field

Demonstrated experience building and scaling predictive models in a production environment across a diverse, evolving product portfolio

Understanding of retail merchandising concepts such as pricing, promotion, or assortment, or experience on a team focused on supply chain, inventory, or operations analytics

M.S. or PhD in a quantitative field such as mathematics, engineering, physics, or equivalent

Portfolio of technical work samples, such as sanitized case studies, publications, conference talks, or a publicgitrepowherepermittedby a prior employer

Education

Bachelor’s degree in a quantitative field such as statistics, engineering, ora relatedfield.Masterdegree/PhD preferred

Anticipated Weekly Hours

Time Type

Full time

Pay Range

The typical pay range for this role is:

$101,970.00 - $203,940.00

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.

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: 09/20/2026

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