Senior Data Scientist - Forecasting and AI Development

CVS Health•New York, NY

1d•$111,240 - $222,480•Onsite

About The Position

We are seeking a Senior Data Scientist – Forecasting & AI Development to join our Forecasting Center of Excellence, focused on advancing labor and financial planning through state-of-the-art analytics. This role will own and evolve key forecasting assets, applying modern statistical, machine learning, and AI-driven approaches to improve accuracy, scalability, and business value. The ideal candidate brings deep expertise in time series forecasting, including experience with ensemble and hierarchical methods, and is passionate about integrating AI into forecasting workflows such as feature engineering, exploratory data analysis, and model development. This role will play a critical part in shaping next-generation forecasting capabilities while driving measurable impact across the organization.

Requirements

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

Nice To Haves

Experience with foundation models or AI-assisted forecasting techniques
Background in labor, demand, or financial forecasting domains
Familiarity with deep learning approaches for time series (e.g., LSTM, transformers)
Experience with MLOps practices, including model deployment and monitoring
Knowledge of optimization techniques and their interaction with forecasting outputs
Experience contributing to or working within a Center of Excellence or shared analytics function
Track record of mentoring or leading other data scientists

Responsibilities

Own and evolve key forecasting assets.
Apply 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.
Drive measurable impact across the organization.