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
- Solve complex problems, translate business requirements into testable hypotheses and measurable metrics, build predictive models to understand localized trends, assess the competitive environment, and measure short- and long- term customer impacts to optimize pricing decisions,
- Develop and leverage in-depth knowledge of Retail Merchandising business processes, translate key drivers of business value to analytics opportunities, and simulate impact of business decisions to improve customer experience,
- Guide the technical approach, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail’s diverse product portfolio, develop robust methodologies and metrics to assess model performance,
- Stay up to date on the state-of-the-art modeling methodologies and latest research,
- Implement scalable high-performance computing techniques to speed up forecasting models
- Utilize the latest developments in the generative models (LLMs and other AI models) to improve and enrich the performance of the pricing models, rethink the deployment readiness and scalability of the models, and automation opportunities using agents,
- Work cross functionally with a range of technical and non-technical stakeholders including business partners, engineers, and other data and analytics teams. Share progress, findings, recommendations, and their business implications. Present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership.
Required Qualifications
- Bachelor’s degree in a quantitative field such as statistics, engineering, or a related field. Master’s degree is preferred
- 3+ years of work experience as a Data Scientist in retail, consulting, or a related field
- Demonstrated experience building and scaling forecasting models in a production environment, for a diverse portfolio of products (seasonal, non-seasonal, new, mature, end of life) and lead times
- Hands on experience with statistical, machine learning and deep learning-based forecasting techniques, hyper-parameter tuning, and ensembles to forecast at short and long horizons
- Strong Python and SQL skills, proficiency in working with large datasets
- Experience working with a data engineering/MLOps team to productionize data science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.)
- Willingness to learn and willingness to coach
- Excellent communication and presentation skills and attention to detail. Worked in an agile environment, has the flexibility to adapt to changing business needs
Preferred Qualifications
- PhD in a quantitative field such as mathematics, engineering, physics or equivalent
- Publicly available git-repo with code samples of work
- Experience writing modular, production ready code
- 5+ years of work experience as a Data Scientist or Senior Data Scientist in retail, consulting, or a related field
- Comfortable with best practices in asynchronous communication
- Demonstrated experience with high performance computing methods
- In depth understanding of merchandising (price, promotion, assortment) concepts and metrics in retail, experience working on a team with a focus on supply chain, inventory management, or merchandising
- E-Commerce experience is desired but not required
- Experience working with multiple business stakeholders
Education
- Bachelor’s degree in a quantitative field such as statistics, engineering, or a related field. Master degree/PhD preferred.
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$101,970.00 - $203,940.00This 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.
