Data Scientist

Position Summary... What you'll do...Role summary:
We are looking for a Staff Data Scientist to drive innovation across Walmart’s Buy Box, Search & Personalization ecosystem. You will develop next-generation machine learning solutions spanning ranking, recommendation systems, Generative AI, and neural networks. You will lead high-impact initiatives from problem formulation and research through experimentation, deployment, and continuous improvement, partnering closely with Product, Engineering, and business stakeholders. You will identify appropriate data sources, ensure data quality, and develop scalable models that support customer and business decisions.

Your solutions will operate at Walmart scale, influencing millions of products, offers, sellers, and customer interactions while delivering measurable customer and business impact.

The Buy Box Data Science team is part of Walmart’s Search & Personalization organization and builds intelligent ranking and decisioning systems that help customers discover and purchase the most relevant and competitive products and offers. Our work sits at the intersection of Search, Personalization, Recommendation Systems, Marketplace, and eCommerce. The team develops machine learning systems that determine the best offer for a product and select the most relevant product variant from a set of eligible variants.

Operating at Walmart scale, these systems influence shopping decisions across millions of products, offers, sellers, and customer interactions, creating meaningful impact for our customers, sellers, and business.

• Lead advanced ML solutions for Buy Box offer ranking, Variant Leader Selection, Search, and Personalization.
• Build and advance ranking and recommendation systems using Learning-to-Rank, deep learning, and modern ML techniques.
• Apply GenAI, LLMs, and neural networks to improve ranking, semantic understanding, personalization, and customer experience.
• Drive research and innovation, translating new ideas into scalable production solutions.
• Lead projects from problem definition and modeling through offline evaluation, A/B testing, production deployment, and impact measurement.
• Partner with Product, Engineering, Analytics, and business stakeholders on strategy and technical roadmaps.
• Provide technical leadership, establish ML best practices, and mentor Data Scientists.
• Deploy and monitor models in production environments, ensuring performance and scalability.

• Proven expertise in machine learning, ranking, recommendation systems, information retrieval, and personalization.
• Proficiency in Python, Big Query, PySpark, Hive, and data visualization tools.
• Deep understanding of Learning-to-Rank, neural networks, embeddings, representation learning, and modern recommendation techniques.
• Experience applying Generative AI and LLMs to real-world machine learning problems.
• Experience building and deploying data pipelines, MLOps and large-scale production ML systems.
• Strong knowledge of experimentation, A/B testing, statistical methods, and model evaluation.
• Ability to lead complex, ambiguous initiatives and influence technical direction across teams.
• Strong communication and cross-functional collaboration skills.
• Passion for innovation, applied research, and delivering measurable customer and business impact at scale.

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 expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption.

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