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CVS Health

Senior Data Scientist – Forecasting, AI Development

CVS Health

Senior Data Scientist at CVS Health focusing on advancing labor and financial planning through AI and forecasting analytics. Integrating modern statistical methods to drive business value through accuracy and scalability.

Posted 6/16/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $111,240 - $222,480 per yearWebsite

Tech Stack

Tools & technologies
NumpyPandasPythonScikit-Learn

About the role

Key responsibilities & impact
  • own and evolve key forecasting assets, applying modern statistical, machine learning, and AI-driven approaches to improve accuracy, scalability, and business value
  • integrate AI into forecasting workflows, such as feature engineering, exploratory data analysis, and model development
  • shape next-generation forecasting capabilities while driving measurable impact across the organization

Requirements

What you’ll need
  • 3+ years of experience in data science, forecasting, or a related quantitative field
  • Strong expertise in time series forecasting methods, including statistical and machine learning approaches
  • Experience with ensemble modeling techniques and model evaluation strategies
  • Proven experience with hierarchical or multi-level forecasting
  • Strong programming skills in Python (e.g., pandas, NumPy, scikit-learn, statsmodels, or similar libraries)
  • Experience applying AI/ML techniques to forecasting workflows, including feature engineering and exploratory data analysis
  • Strong problem-solving, communication, and stakeholder management skills

Benefits

Comp & perks
  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • other resources, based on eligibility

ATS Keywords

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Hard Skills & Tools
data scienceforecastingtime series forecastingmachine learningensemble modelingmodel evaluationhierarchical forecastingPythonfeature engineeringexploratory data analysis
Soft Skills
problem-solvingcommunicationstakeholder management