(USA) Director, Data Science

Position Summary

We are seeking a highly experienced Director of Data Science & Machine Learning to lead the strategy, development, and delivery of next-generation Price Recommendation solutions. This leader will manage a high-performing team of Data Scientists and Machine Learning Engineers responsible for building AI and ML products that improve pricing decisions, customer value, and business performance at scale.

Key Responsibilities

• Define and own the multi-year vision and roadmap for Price Recommendation capabilities aligned with business objectives.

• Identify opportunities to leverage AI, machine learning, causal inference, optimization, and experimentation to improve pricing decisions.

• Drive innovation by evaluating emerging technologies and translating them into scalable business solutions.

• Influence organizational strategy through data-driven recommendations and executive-level communication.

• Lead, mentor, and grow a team of Data Scientists, Machine Learning Engineers, and technical managers.

• Foster a culture of innovation, ownership, collaboration, and continuous learning.

• Establish clear goals, performance expectations, and career development plans for team members.

• Partner with Product Management to define priorities, investment decisions, and roadmap execution.

• Balance long-term innovation with near-term business commitments.

• Drive prioritization across multiple initiatives while effectively managing dependencies, risks, and trade-offs.

• Build strong partnerships with Product, Engineering, Merchandising, Finance, Operations, and Executive Leadership.

• Translate complex technical concepts into clear business outcomes for senior leadership.

• Align multiple organizations around common goals and execution plans.

• Serve as the primary data science leader for pricing initiatives across the organization.

• Lead end-to-end delivery of ML products from ideation through production deployment and post-launch measurement.

• Ensure solutions are scalable, reliable, explainable, and measurable.

• Establish operational excellence through strong execution, governance, and engineering best practices.

• Define success metrics and continuously improve model performance and business impact.

• Provide technical direction on machine learning methodologies including:

  • Demand forecasting
  • Price elasticity modeling
  • Causal inference
  • Recommendation systems
  • Reinforcement learning
  • Optimization
  • Experimentation and A/B testing

• Guide architectural decisions to ensure scalable and reusable ML platforms.

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail.

Benefits

• Beyond our great compensation package, you can receive incentive awards for your performance.
• Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
• Equal Opportunity Employer: 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 unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.

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

• 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.