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Senior Data Scientist - Forecasting and AI Development
- United States
- United States
Über
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
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$111,240.00 - $222,480.00
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 (https://learn.bswift.com/cvshealth-mainland) .
We anticipate the application window for this opening will close on: 07/12/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
CVS Health is an equal opportunity/affirmative action employer, including Disability/Protected Veteran — committed to diversity in the workplace.
Sprachkenntnisse
- English
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