Senior Data Scientist – Forecasting

CVS Health

Senior Data Scientist building scalable forecasting and pricing models for CVS Retail. Applying machine learning, high-performance computing, and generative AI to improve merchandising decisions.

Posted 8/21/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesSenior💰 $101,970 - $203,940 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in building and scaling forecasting models using statistical, machine learning, and deep learning techniques, with strong proficiency in Python and SQL. Ability to collaborate cross-functionally and present analytical insights to diverse audiences while optimizing pricing strategies in the retail sector.

Highest-signal resume keywords

Data Science ExperienceForecasting Model DevelopmentPython ProficiencySQL ProficiencyCollaboration Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical TechniquesMachine LearningDeep LearningHyper-Parameter TuningEnsemble MethodsForecasting ModelsData AnalysisPredictive ModelingLarge Dataset ManagementAgile Methodologies

Soft Skills

Communication SkillsPresentation SkillsAttention to DetailCoaching WillingnessAdaptability

Tools & Technologies

AWS SageMakerDatabricksGCP Vertex AIGitLabGitHub

Industry Keywords

Retail MerchandisingData EngineeringMLOpsBusiness AnalyticsCompetitive Analysis

Tech Stack

Tools & technologies

AWSGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Solve complex problems and translate business requirements into testable hypotheses and measurable metrics
Build predictive models to understand localized trends and assess competitive environments
Measure short- and long-term customer impacts to optimize pricing decisions
Develop knowledge of Retail Merchandising business processes and translate business value drivers into analytics opportunities
Simulate the impact of business decisions to improve customer experience
Guide technical approaches and build scalable, deployment-ready models for CVS Retail’s diverse product portfolio
Develop methodologies and metrics to assess model performance
Stay current with state-of-the-art modeling methodologies and research
Implement scalable high-performance computing techniques to accelerate forecasting models
Use generative models, LLMs, AI models, and agents to improve pricing models, deployment readiness, scalability, and automation
Collaborate cross-functionally with business partners, engineers, and data and analytics teams
Share progress, findings, recommendations, business implications, and forward planning with internal stakeholders and senior leadership
Present insights-driven analytical results and recommendations to varied audiences

Requirements

What you’ll need

Bachelor’s degree in a quantitative field such as statistics, engineering, or a related field
3+ years of work experience as a Data Scientist in retail, consulting, or a related field
Demonstrated experience building and scaling forecasting models in a production environment for diverse product portfolios and lead times
Hands-on experience with statistical, machine learning and deep learning-based forecasting techniques, hyper-parameter tuning, and ensembles
Strong Python and SQL skills
Proficiency working with large datasets
Experience working with a data engineering/MLOps team to productionize data science models
Familiarity with version control such as GitLab or GitHub
Familiarity with ML platforms such as AWS SageMaker, Databricks, or GCP Vertex AI
Willingness to learn and coach
Excellent communication and presentation skills
Attention to detail
Experience working in an agile environment and flexibility to adapt to changing business needs

Benefits

Comp & perks

CVS Health bonus, commission or short-term incentive program in addition to base pay
Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources supporting physical, emotional, and financial well-being, based on eligibility