Senior Data Scientist - Full-stack Forecasting Modeling

Description:

• 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
• We are a fast-paced team focused on building innovative advanced analytics solutions using cloud capabilities. Within our team, we believe cutting-edge AI products and analytics can only be delivered if every aspect of the solution from data to model to front end UI is fully designed and developed by the team.
• We are looking for talented individuals who have a strong sense of ownership, accountability and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches.

Requirements:

• 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
• 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.

Benefits:

• Affordable medical plan options
• a 401(k) plan (including matching company contributions)
• an employee stock purchase plan
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

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