Staff, Data Scientist

About The Team

The Discovery Product Analytics team partners closely with the Discovery Product Management, Engineering, and Business teams to build, evaluate, and scale product experiences on discovery and browse page including product design changes and machine learning–powered recommendation that help millions of Walmart customers discover the right products at the right time.

We provide the analytical foundations that shape customer relevance, experimentation frameworks, and product roadmap decisions for Walmart’s eCommerce platform.

Position Summary... What you'll do... Whatyou’lldo…

The Discovery Product Analytics team partners closely with the Discovery Product Management, Engineering, and Business teams to build, evaluate, and scale product experiences on discovery and browse page including product design changes and machine learning–powered recommendation that help millions of Walmart customers discover the right products at the right time.

We provide the analytical foundations that shape customer relevance, experimentation frameworks, and product roadmap decisions for Walmart’s eCommerce platform.

We areseekinga dynamic and experienced

Staff,Data Scientist (Individual Contributor). Youwill be a technical expert driving analytical strategy focused on Home Page, Navigation, Deals and other discovery pages. You will own complex analytical work streams, design and interpret large-scale experiments, and influence decisions across multiple cross-functional partners. Ifyou’reexcited about solving ambiguous, high-impact problems at the intersection of experimentation,productanalytics, MLand customer experience, this role is a good fit for you.

• Product Analytics Leadership
• Partner with Product Managers, Engineers, Data Scientists, and UX teams to define success metrics, measurement strategies, and opportunity assessments for product feature enhancements and recommendation algorithms.
• Translate ambiguous business or product questions into structured analytical approaches that influence prioritization and product direction.
• Deep Customer & Behavioral Analysis
• Work closely with engineering and product to build clickstream tracking
• Leverage clickstream data, user logs, and customer engagement patterns to understand how customers interact with site features.
• Partner with personalization data science to increase adoption of personalization algorithms across discovery pages
• Conduct funnel analysis, opportunity sizing,cohort analysis, attribution, and retention of Walmart customers.
• Experimentation Strategy & Execution
• Design and evaluate large-scale A/B tests and advanced experimentation methods (e.g., quasi-experimental approaches, causal inference).
• Ensure experiment integrity through appropriate power analysis, guardrail metrics, and thoughtful statistical methodologies.
• Produce end-to-end experiment readouts with clear conclusions, implications, and directional recommendations grounded in customer behavior.
• ML-Aware & Technical Execution
• Use expert-levelSQLto analyze large-scale datasets across platforms such asBigQuery, Hive, and Spark to uncover user behavior insights to use for model building and ad-hoc analysis
• Develop reproducible analytical pipelines and experiment workflows using
  
  Pythonand Py Spark .
• Familiarity with ML concepts (e.g., predictive modeling using supervised and unsupervised ML methods, dimensionality reduction, clustering).
• Apply data mining and feature-level diagnostics toidentifypatterns thatimpactcustomer experience or ML performance.
• AI aware
• Use prompt engineering and LLMs to simplify day-to-day work
• Hands-on experience to create innovative tools for workflow automation
• Storytelling & Insight Influence
• Deliver compelling, concise narratives that translate analytical findings into product and business implications.
• Influence product and engineering leaders through data-backed recommendations and clear articulation of trade-offs.
• Cross-Functional Collaboration
• Build strong relationships with Product, Engineering, Business and Data Science partners.
• Serve as a trusted voice whoanticipatesstakeholder needs, clarifies expectations,facilitatesalignment, and drives…