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(USA) Senior, Data Scientist
WalmartUnited Statesfull_timeVerifiedPosted 10 Feb 2026
💰 $234,000/yr($117,000/yr – $234,000/yr)
About the role
Position Summary...
As a Senior Data Scientist on Walmart’s Last Mile Delivery (LMD) Strategy & Science team, you will design, develop, and deploy advanced data science solutions that optimize Walmart’s end-to-end LMD ecosystem. This role is deeply hands-on and focused on applying optimization, machine learning, simulation, and GenAI/LLMs to solve complex, large-scale logistics problems. You will influence algorithmic decisions that directly impact customer experience, driver performance, and cost efficiency, while partnering closely with product, engineering, and business leaders.What you'll do...
Key Responsibilities- Design, develop, and maintain scalable data science models and algorithms supporting core Last Mile Delivery platforms.
- Apply optimization, simulation, machine learning, and advanced analytics to improve routing, capacity planning, dispatch, and operational efficiency.
- Build and deploy GenAI and LLM-based solutions to support operational insights, decision automation, and planning workflows.
- Develop LLM-driven agents that enable grounded, context-aware reasoning across LMD use cases.
- Partner with engineering teams to productionize models, ensuring reliability, performance, and monitoring at scale.
- Collaborate with product, operations, and business stakeholders to translate complex problems into measurable data science solutions.
- Conduct large-scale data analysis and experimentation to quantify impact, evaluate tradeoffs, and inform platform decisions.
- Communicate technical findings and recommendations to senior stakeholders in a clear, concise, and business-focused manner.
- Contribute to data science standards, modeling best practices, and reusable frameworks across the LMD Strategy & Science organization.
- 6–8+ years of experience in data science, machine learning, applied optimization, or operations research.
- Strong hands-on experience with optimization techniques, statistical modeling, simulation, and ML systems.
- Proficiency in Python, SQL, and experience deploying models in cloud environments (e.g., GCP).
- Experience applying or building GenAI / LLM-based solutions in applied or production settings.
- Demonstrated ability to work independently on ambiguous, high-impact problems in cross-functional environments.
- Strong communication skills with the ability to connect analytical work to business and operational outcomes.
- Advanced degree (PhD or Master’s) in Operations Research, Statistics, Computer Science, Mathematics, or a closely related quantitative field
- Experience in logistics, transportation, supply chain, or E-commerce platforms.
- Familiarity with large-scale optimization systems, experimentation frameworks, or decision support tools.
- Experience working on platform or ecosystem-level data products.
Eligibility requirements apply to some benefits and may depend on your job classification a
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