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(USA) Principal, Data Scientist
WalmartBentonville, United Statesfull_timeVerifiedPosted 15 May 2026
💰 $220,000/yr($110,000/yr – $220,000/yr)
About the role
Position Summary...
Job Description SummaryAs a Principal Data Scientist and Core Solution Architect, you will be the visionary lead responsible for defining the technical backbone of Walmart’s Retail Digital Twin ecosystem. You will move beyond being a "user" of tools to becoming an architect of systems—selecting and integrating best-in-class simulation engines, 3D frameworks, and agentic AI to build a high-fidelity, scalable platform that optimizes the world’s largest retail operation.
What you'll do...
What you’ll do:- Architect End-to-End Systems: Lead the design of a modular, distributed digital twin architecture that balances simulation fidelity with computational efficiency across diverse retail use cases.
- Select & Optimize the Tech Stack: Evaluate and deploy the most effective simulation paradigms (Agent-Based, DES, Physics-based) and tools—whether leveraging AnyLogic, NVIDIA Omniverse, or building custom C++/Python-based engines from the ground up.
- Drive Software Engineering Excellence: Build production-grade, scalable applications that integrate real-time IoT data streams, ensuring the digital twin platform is performant and maintainable at an enterprise scale.
- Lead Agentic AI Strategy: Design the orchestration layer for agentic workflows, enabling intelligent entities within the twin to perform complex reasoning and autonomous optimization.
- Standardize Digital Assets: Define the schema and governance for reusable process blocks (XML/JSON) and 3D CAD assets (USD/gLTF) to ensure interoperability across the organization’s pillars.
- Cross-Functional Technical Leadership: Serve as the primary technical liaison between software engineering, data science, and retail operations to align the simulation roadmap with global business objectives.
What you’ll bring:
- System Architecture Mastery: 8+ years of experience designing complex, large-scale software systems or simulation environments with a focus on modularity and high-performance computing.
- Tool-Agnostic Expertise: Deep proficiency in a variety of simulation environments and the ability to determine when to use commercial off-the-shelf software (COTS) versus building bespoke solutions.
- Advanced Software Engineering: Expert-level coding skills in C++, Java, or Python, with a strong background in data structures, algorithms, and distributed systems.
- Agentic AI & Optimization: Proven track record of implementing Reinforcement Learning (RL), Multi-Agent Systems (MAS), or Large Action Models (LAMs) within a simulation context.
- Academic Pedigree: PhD or MS in Computer Science, Robotics, Computational Physics, or Industrial Engineering.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.
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