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Position Summary

• Guide the technical approach,leveragelarge datasets and high-performance computing techniques to build scalable, deployment ready models that work well with CVS Retail's diverse product portfolio, and develop robust methodologies and metrics to assess model performance

• Utilize the latest developments in generative models (LLMs and other AI models) to improve model performance and rethink the deployment readiness and scalability of those models

• Identifyand build automation opportunities using AI agents to reduce manual effort across the broader analytics workflow

• Develop andleveragein-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

• Work cross functionally with a range of technical and non-technical stakeholders, including business partners, engineers, and other data and analytics teams, sharing progress and findings as the work develops

• Present insights-driven analytical results, recommendations, and go forward planning to guide stakeholders and senior leadership

• Stay up to date on thestate-of-the-artmodeling methodologies and latest research

Required Qualifications

• 3+years of work experience as a Data Scientist in retail, consulting, or a related field

• Hands on experience with building statistical, machine learning, and deep learning models

• Strong Python and SQL skills,proficiencyin working with large datasets

• Experience writing modular, production ready code

• Experience working with a data engineering/MLOpsteam to productionize data science models, familiarity with version control (GitLab or GitHub), and cloud-based ML platforms (Azure ML, GCP Vertex AI, or similar)

• Bachelor's degree in a quantitative field such as statistics, engineering, or a related field

• Willingness to learn from teammates and to provide technical direction and informalmentorship to junior data scientists, whileremaininghands-on with model development

• Excellent communication and presentation skills, with attention to detail and ability to document technical decisions and model assumptions clearly enough for cross-functional and globally distributed teams to align without a live meeting

• Worked in an agile environment, has the flexibility to adapt to changing business needs

Preferred Qualifications

• 5+years of work experience as a Data Scientist or Senior Data Scientist in retail, consulting, or a related field

• Demonstrated experience building and scaling predictive models in a production environment across a diverse, evolving product portfolio

• Understanding of retail merchandising concepts such as pricing, promotion, or assortment, or experience on a team focused on supply chain, inventory, or operations analytics

• M.S. or PhD in a quantitative field such as mathematics, engineering, physics, or equivalent

• Portfolio of technical work samples, such as sanitized case studies, publications, conference talks, or a publicgitrepowherepermittedby a prior employer

Education

• Bachelor's degree in a quantitative field such as statistics, engineering, ora relatedfield.Masterdegree/PhD preferred