(USA) Director, Data Science

Walmart • Bentonville, AR

1d

About The Position

Join Walmart’s AI Innovation in Last-Mile Delivery Walmart’s Last-Mile Delivery team builds intelligent systems that combine machine learning, AI, real-time data, and scalable platforms to power one of the most complex delivery networks. Spark Driver plays a critical role in Walmart’s eCommerce growth by enabling fast, flexible, and cost-effective fulfillment through data- and AI-driven decisioning.
________________________________________ Position Summary We are seeking a Director of Data Science to lead how machine learning and data science inform decision-making, automation, and continuous improvement across Last-Mile Delivery. This role focuses on evaluating ML/AI-driven decisions, shaping intelligent business workflows, and translating operational insights into scalable automation. The Director of Data Science provides technical leadership, develops high-performing data science teams, and partners closely with Product, Operations, and Machine Learning Engineering teams.

Requirements

• Senior-level experience in data science, machine learning, or AI-driven decision systems.
• Strong foundation in statistics, experimentation, and analytical modeling, with sound technical judgment.
• Experience influencing outcomes through insight and partnership rather than direct system ownership.
• Proven ability to operate effectively in cross-functional, matrixed environments.
• Clear, concise communication skills with technical and business stakeholders.
• Track record of developing and mentoring high-performing data science teams.
• Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
• Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
• Option 3: 8 years' experience in an analytics or related field

Nice To Haves

• Experience in logistics, marketplaces, or operational decision systems.
• Familiarity with AI-enabled automation, experimentation platforms, or scenario modeling.
• Strong systems-thinking mindset and comfort operating in ambiguous environments.

Responsibilities

• Set the data science and ML evaluation direction for Last-Mile Delivery, aligned to high-impact business priorities.
• Lead evaluation and continuous improvement of ML/AI-driven decisions using operational outcomes and feedback loops.
• Own the analytical design and validation of AI-enabled business workflows through experimentation, simulation, and scenario analysis.
• Translate manual operational adjustments and heuristics into structured insights and automation opportunities.
• Guide fine-tuning and decision-overlay logic that improves outcomes beyond base forecasts and models.
• Detect patterns, exceptions, and failure modes in workflows, providing root-cause insights and recovery recommendations.
• Partner with Product, Operations, and MLE teams to ensure insights inform scalable automation and model evolution.
• Coach and develop data science talent, raising technical rigor and business ownership.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 5,001-10,000 employees