Job Description
Job Listing ID:
4496744 Job Title:
Lead Data Scientist•Forecasting Application Deadline:
Open Until Filled Job Location:
Salem
Date Posted:
05/22/2026 Hours Worked Per Week:
Not Provided Shift:
Not Provided Duration of Job:
Either Full or Part Time, more than 6 months You may contact this employer directly.
(Obtain the contact information to print or add to your jobs.) Job Summary:
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 The Forecasting Center of Excellence (COE) at CVS Health builds scalable forecasting systems that support pricing, promotions, and assortment decisions across the retail business. As a Lead Data Scientist, you will own how demand is modeled and used for decision-making, not just how it is predicted. This role focuses on defining and scaling a unified forecasting framework that produces consistent outputs across use cases. You will work with data science, engineering, product management, software development, and business teams to ensure forecasts are not just accurate, but stable, and usable in real decision workflows. In this role, you will have the opportunity to: Own thedesign andevolutionof a unified forecastingarchitecture, defininghow demand is constructed Integrate internal and external data sources (e.g., coupon redemption, merchandising, competitive, macroeconomic) into scalable forecasting pipelines Evaluate tradeoffs across various forecasting methods (and ensure outputs are stable, interpretable, and decision-ready Develop scenario planning and simulation frameworks to measure the business impact of pricing, promotions, and assortment decisions Implement robustMLOpspractices for deployment, monitoring, and retraining in cloud environments (Azure, GCP, AWS) Elevate the technical bar of the entire organization. Establish a culture ofcontinouslearning and champion the recruitment oftop-tier analyticaltalent Lead the exploration ofstate-of-the-artmachine learning/deep learningtechniques. Translate complex businessobjectivesinto a multi-quarter data science roadmap, prioritizing high impact initiatives from research through deployment while managing technical debt and ensuring alignment with cross-functional product milestones. ? We are a fast-paced team focused on building innovative advanced analytics solutions using cloud capabilities. Within our team, we believe cutting-edge AI products and analytics can only be delivered if every aspect of the solution from data to model to front end UI is fully designed and developed by the team. We are looking for talented individuals who have a strong sense of ownership, accountability and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches. Required Qualifications Master'sdegree in Statistics, Mathematics, Computer Science, Engineering, Economics, or relatedquantitative field(PhD preferred) 7+ years of experience in forecasting or demand modeling,ideally in a retail or B2C environmentincludinghands-ondeploying enterprise-levelproduction forecasting systems with measurable impact 3+ years of experienceworking with a data engineering/MLOpsteam toproductionizedata science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.) 4+ years of experience with Python and SQL for large-scale data processing Excellent communication, leadership, and presentation skills and attention to detail. Worked in an agile environment, has the flexibility to adapt to changing business needs Proven experience leading multiple complex projects... Job Classification:
Computer and Information Research Scientists Access our statewide or regional occupation report for more information about wages,
employment outlooks, skills, training programs, related occupations, and more. Compensation
Salary:
Not Provided Job Requirements
Experience Required:
See Job Summary
Education Required:
None Minimum Age:
N/A Gender:
N/A
