Senior Data Scientist - Forecasting

Position Summary 

• Guide the technical approach, leverage large 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 

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

• 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 

• 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 the state-of-the-art modeling 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, proficiency in working with large datasets 

• Experience writing modular, production ready code 

• Experience working with a data engineering/MLOps team 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 informal mentorship to junior data scientists, while remaining hands-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 public git repo where permitted by a prior employer 

 
Education 

• Bachelor’s degree in a quantitative field such as statistics, engineering, or a related field. Master degree/PhD preferred