Staff, Data Scientist (Pricing/Reinforcement Learning)

Position Summary...

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What you'll do...

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*Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship.*

*This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid options are not available.*

About the Role

The Walmart Global Tech Applied AI Data Science team is looking for a Staff Data Scientist to work alongside our team of data scientists to build complex, cutting edge, and scalable algorithms for our Pricing organization. We are shaping the future of retail and are ready to work closely with merchants to solve their problems.

About the Team

The Applied AI team researches and develops advanced algorithms that power strategic decision-making across pricing, markdown optimization, price recommendations, price elasticity, assortment optimization, supply chain, replenishment, and store layout. You will work closely with data scientists, machine learning engineers, operations research scientists, and data analysts, while collaborating with business leaders, product managers, pricing strategists, software engineers, and data engineers to build AI-driven solutions at enterprise scale.

Our work combines techniques from forecasting, optimization, operations research, machine learning (classical ML, deep learning, reinforcement learning), causal inference, experimentation, and statistics to solve complex pricing and retail challenges. We develop innovative AI solutions that directly influence business strategy and customer experience, and our research is regularly published in top-tier conferences and journals.

What You’ll Do

* Design and deploy prescriptive ML models to address high-impact pricing and markdown needs, ensuring alignment with Walmart’s Global Tech strategy and EDLP integrity. * Perform