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
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.
Required Qualifications
- 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
Preferred Qualifications
- 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
Education
- Master’s degree or PhD in Data Science, Statistics, Economics, Operations Research, Computer Science, or a related quantitative field
- Bachelor’s degree with significant relevant experience may be considered in lieu of an advanced degree
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$111,240.00 - $222,480.00This 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.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 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
- Master's degree or PhD in Data Science, Statistics, Economics, Operations Research, Computer Science, or related quantitative field (Bachelor's with significant relevant experience may be considered)
- 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
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
