Data Scientist - Health & Wellness - Consumer Health & Data Solutions

Position Summary

Join Walmart’s Consumer Health & Data Solutions team to build data science products that help customers eat healthier and make more informed wellness choices. As a Staff Data Scientist, you’ll develop recommendation systems, behavioral “signals” models, and health‑focused chatbot capabilities—taking work from data sourcing and experimentation through evaluation and production partnership. You’ll collaborate closely with product and data engineering while owning model quality, insights, and measurable impact.

• Build and improve ML systems for recommendations, behavioral signals, and nutrition‑focused chatbot experiences.
• Lead the design and implementation of predictive models, recommender systems, customer segmentation and other advanced analytics projects.
• Develop and execute data‑driven solutions for various initiatives, such as personalized product and content recommendations, health coaching, customer segmentation in the consumer health space, and product assortment in retail space.
• Experience creating, fine‑tuning and validating boosted tree‑based models, for balanced as well as imbalanced problems.
• Collaborate with cross‑functional teams to integrate data insights into product development, educational and outreach campaigns, and operational processes.
• Identify fit‑for‑purpose data sources, run initial data quality checks, and translate product questions into modeling approaches.
• Evaluate and tune models using appropriate metrics (e.g., ROC, RMSE) and robust validation practices.
• Partner with data engineering to deploy, scale, and monitor models in production.
• Communicate results through clear visualizations and stakeholder‑ready narratives.

• Ph.D. or master’s degree in computer science, statistics, mathematics, data science, or a related field.
• Strong applied ML background, including deep learning and embeddings;
  GenAI experience is a plus.
• Experience with recommendation and/or search‑style problems beyond collaborative filtering‑only approaches.
• Proficiency in Python and SQL with large‑scale data (e.g., Big Query).
• Demonstrated skill in model testing/tuning/validation and production‑minded measurement.
• 4 years of experience in an analytics‑related field (or 2 years with a master’s degree, or 6 years overall).

• Experience with bias analysis, fairness metrics, and model explainability techniques.
• Experience with time‑series or other temporal modeling.
• Experience building personalization systems for recommendations and/or search.
• Experience with generative AI methods and/or recommendation + generative approaches.
• Experience with big data and orchestration tools (e.g., Spark, Airflow, Big Query).
• Familiarity with health and wellness products, services, or research environments.
• Experience in retail, eCommerce, and/or omnichannel domains.
• Knowledge of privacy and compliance considerations for health‑related data (e.g., HIPAA concepts).
• Experience working in an Agile environment.

• Health, vision, and dental coverage.
• 401(k) with company match and stock purchase program.
• Paid time off (including sick leave, parental leave, and family care leave).
• Short‑term and long‑term disability, life insurance, and military leave pay.
• Other benefits such as company discounts and adoption reimbursement.

Sunnyvale, California

Walmart, Inc. is an Equal Opportunity Employer
- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity—unique styles, experiences, identities, abilities, ideas and opinions—while being inclusive of all people.