Senior, Data Scientist - Merchandising Analytics (Member and Insights)

This Senior Data Scientist role in Sam's Club Merchandising Analytics uses data and AI to drive smarter assortment, pricing, and inventory decisions. The position partners with merchants and cross-functional teams to build scalable data products and models that improve sales, margin, and the member shopping experience.

• Analyze complex datasets to uncover trends and opportunities
• Build and deploy scalable data products and models
• Design state-of-the-art AI/ML and optimization techniques for business insights
• Apply Causal Inference to pinpoint root cause (RCA) and recommend interventions
• Use forecasting and anomaly detection techniques and communicate insights to stakeholders

You will analyze complex datasets, build and deploy scalable data products and AI/ML models using Python and PySpark, and apply causal inference to identify root causes. The role also includes forecasting and anomaly detection, developing optimization techniques for interventions, and communicating results via Power BI while leveraging SQL and NoSQL for data engineering.

The ideal candidate is a senior data scientist with 5+ years of hands-on experience building machine learning and predictive modeling solutions. They are proficient in Python and PySpark, have strong Causal Inference experience with forecasting and anomaly detection, and can deliver scalable data products using SQL/NoSQL. They communicate clearly to both technical and non-technical stakeholders and apply data-driven algorithms to improve merchandising decisions and the member experience.