Note: The job is a remote job and is open to candidates in USA. CVS Health is focused on creating a more connected, convenient, and compassionate health care experience. The Senior Data Scientist will develop, scale, and deploy forecasting and pricing models, apply advanced statistical and machine learning methods, and use generative AI to improve model performance and automation. The role will also collaborate with technical and business stakeholders to communicate analytical insights and recommendations.
Responsibilities
- 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
Skills
- 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, Google Cloud Platform 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
- Bachelor's degree in a quantitative field such as statistics, engineering, or a related field. Master degree/PhD preferred
- 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
Benefits
- This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families.
- Medical, dental, and vision coverage, based on eligibility
- Paid time off, based on eligibility
- Retirement savings options, based on eligibility
- Wellness programs, based on eligibility
- Other resources, based on eligibility
- CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above
Company Overview
Company H1B Sponsorship