Data Scientist - Retail Demand Sensing

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.

• 1+ years of experience in data science, machine learning, forecasting, or advanced analytics.
• Experience developing predictive or forecasting models in a business environment.
• Experience working with large-scale structured datasets.
• Python, SQL, and data manipulation frameworks.
• Time-series forecasting techniques (ARIMA, Prophet, gradient boosting, machine learning forecasting methods).
• Machine learning model development and validation.
• Feature engineering and statistical analysis.
• Data visualization tools such as Power BI, Tableau, or similar platforms.
• Cloud-based analytics environments and version control practices.
  

• Retail, supply chain, inventory planning, replenishment, or merchandising analytics.
• Demand forecasting and demand sensing applications.
• Experience leveraging external demand drivers such as weather, events, seasonality, and pricing signals.

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Economics, Engineering, or related field.
• Master's degree preferred.

The typical pay range for this role is:

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.