(USA) Principal, Data Scientist
Walmart
Location
🇺🇸 Tontitown, United States
Type
full_time
Salary
$110k–$220k
Posted
2d ago
Job Description
Position Summary
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What you'll do
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Role summary
: As a Principal Science Manager within Retail Intelligence (RI), you will lead the next generation of data science and AI-driven solutions that power Walmart’s retail operations. This role sits at the intersection of data science, strategy, product, engineering, driving end-to-end development of advanced analytics, machine learning, and generative AI prototypes that translate complex business challenges into scalable technical solutions. You will architect and guide the development of horizontal AI capabilities, rapid prototypes, and intelligent agents that accelerate innovation across store operations, supply chain, and workforce domains to name a few. About the team: Retail Intelligence (RI) is a multidisciplinary innovation team at Walmart dedicated to rapidly prototyping and deploying simulation, machine learning, and AI solutions that enhance retail decision-making at scale. The team collaborates closely with business stakeholders, product teams, and engineering to transform complex operational challenges into data-driven solutions with measurable impact. RI integrates science management, product thinking, and technical expertise to accelerate innovation from ideation to production. Its work spans digital twins, workforce optimization, supply chain intelligence, store operations, and emerging AI applications, enabling faster testing and scaling of innovative solutions aligned with Walmart’s long-term platform strategy.
What you'll do
: • Translate ambiguous business problems into structured product opportunities, technical architectures, and experimentation roadmaps. • Drive cross-functional collaboration across business, product, engineering, and data science teams to align priorities and accelerate solution delivery. • Establish best practices for rapid prototyping, AI experimentation, and transitioning successful prototypes into scalable production solutions. • Guide product and science teams in developing strong technical intuition around model design, analytics frameworks, and experimentation methods. • Identify opportunities to leverage emerging technologies—including generative AI, digital twins, optimization, and simulation—to create strategic advantages for Walmart. • Communicate complex technical concepts and solution trade-offs clearly to executive leadership and cross-functional stakeholders.