Data Scientist developing machine learning and AI solutions at STATSports. Turning GPS and IMU sensor data into actionable insights for athlete performance and decision - making.
About the role
- Data Scientist in Price and Promotions optimizing pricing and promotions for retail using data science. Collaborating with Data Engineering to architect scalable solutions and drive customer satisfaction.
Responsibilities
- Solve complex problems, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail’s diverse product portfolio
- Guide the modeling approach, design and deploy end-to-end solutions utilizing Operations Research (OR), econometric modeling, and forecasting along with the functional team leads
- Partner with the Data Engineering team to architect scalable and fail-proof production pipelines, define the unified technical vision, and set standards
- Stay up to date on the state-of-the-art modeling methodologies, initiate, lead, and inspire Research and Development efforts, define long-term technical vision and strategic roadmap
- Act as a consultant who translates complex requirements and data science findings into decision ready narratives for cross-functional teams
- Mandate and champion rigorous performance validation
- Provide advanced technical mentorship, proactively identify critical organizational skill gaps, and standardize hiring processes
Requirements
- 10+ years of progressive work experience in retail, consulting, or a related field as an individual contributor (applied data science) with at least 3 years in a lead capacity
- Strong foundation and demonstrated experience designing and deploying large scale optimization problems to production
- Strong Python, R, 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.)
- Excellent communication, leadership, and presentation skills and attention to detail
- Worked in an agile environment, has the flexibility to adapt to changing business needs
- Proven experience influencing organizational strategy and driving change across business, product, and engineering organizations
- Proven experience leading multiple complex projects simultaneously in a fast-paced environment
Benefits
- Affordable medical plan options
- 401(k) plan (including matching company contributions)
- 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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