(USA) Director, Data Science

Position Summary...

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.
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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.

What you'll do...

What You’ll Do

• 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 You’ll Bring

• 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.

Nice to Have

• 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.

Why This Role Matters

This role ensures that ML and AI capabilities translate into better decisions and smarter automation across Last-Mile Delivery. By converting operational knowledge and manual interventions into durable insights, this leader helps scale intelligence and learning across the delivery network.

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

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

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

702 Sw 8Th St, Bentonville, AR 72716, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.