(USA) Principal, Data Scientist

Walmart Marketplace is seeking an experienced Principal Data Scientist to join their Seller Fulfilled Services (SFS) team. This role combines advanced machine learning expertise with practical e-commerce applications, focusing on delivery promise optimization and customer experience enhancement.

The position requires a leader who can drive the development and deployment of sophisticated machine learning models across Walmart's Marketplace platform. The ideal candidate will have 10+ years of industry experience (or 7+ with a master's degree) in data science, mathematics, or statistics, with proven expertise in causal learning and anomaly detection within the e-commerce domain.

As part of the SFS team, you'll work on products that connect sellers worldwide to buyers, managing over 350M+ items. The role involves collaborating with cross-functional teams including program managers, product managers, engineers, and business stakeholders to build end-to-end machine learning solutions that optimize the marketplace experience.

Key responsibilities include leading AI/ML projects from ideation to deployment, developing novel algorithms using frameworks like TensorFlow and PyTorch, and driving data-derived insights across various retail challenges. You'll also mentor junior data scientists and contribute to building a culture of innovation within Walmart's data science community.

The position offers competitive compensation ($143,000-$286,000 annually) plus performance bonuses and stock options. Benefits include comprehensive health coverage, 401(k), stock purchase plans, paid time off, and educational assistance. Located in Sunnyvale, CA, this role offers the opportunity to work in the heart of Silicon Valley while contributing to Walmart's mission of helping people save money and live better.

This is an excellent opportunity for a seasoned data scientist looking to make a significant impact in e-commerce while working with large-scale data and advanced ML technologies. The role combines technical leadership with business impact, requiring both deep technical expertise and strong collaborative skills.