Staff Data Scientists, Conversational AI

Walmart Walmart · Retail · Crossman Respect Building CA SUNNYVALE, Bellevue, WA

Staff Data Scientist role focused on building and deploying conversational, agentic, and generative AI systems for Walmart's consumer-facing applications. The role involves end-to-end project ownership, from problem definition to production launch, with a focus on real-world performance, latency, scale, and reliability. Requires hands-on experience with ML/LLM systems, NLP, conversational AI, agentic workflows, and deep learning, as well as experience running scalable production systems.

What you'd actually do

  1. Lead projects end-to-end, from defining the problem to launching production ready solutions.
  2. Design, finetune, evaluate, and deploy machine learning and LLM based systems that perform reliably at Walmart scale.
  3. Take ownership of how systems behave in the real world, including latency, scale, and reliability.
  4. Influence teams across Emerging Tech through strong technical judgment and partnership, not authority.
  5. Work confidently in fastmoving, ambiguous spaces where quick learning and iteration matter.

Skills

Required

  • Data Science
  • Machine Learning
  • Applied AI
  • LLM systems
  • NLP
  • Conversational AI
  • Agentic workflows
  • Deep learning
  • Multimodal generative modeling
  • Production grade systems
  • MLOps practices
  • Distributed training
  • Inference optimization

Nice to have

  • Research
  • Technical insight

What the JD emphasized

  • Immigration Sponsorship is not available in this role
  • 4-9+ years of experience in data science, machine learning, or applied AI
  • Handson experience building, finetuning, evaluating, and deploying ML or LLM driven systems
  • Experience running scalable, production grade systems that support real customers.

Other signals

  • building systems that operate in the real world
  • powering intelligent agents at Walmart’s scale
  • state-of-the-art generative and conversational AI
  • millions of customers worldwide