Staff Data Scientists, Conversational AI

Walmart•Bellevue, WA

2d•Onsite

About The Position

As part of the Emerging Tech team, you’ll help move AI from reactive to proactive by building systems that operate in the real world. As a Staff Data Scientist, you’ll take full ownership of conversational, agentic, and generative AI systems from modeling to production, powering intelligent agents at Walmart’s scale. Immigration Sponsorship is not available in this role. Our Emerging Tech team drives Walmart’s AI transformation by building intelligent systems that influence how millions shop every day across our global retail ecosystem. We develop state-of-the-art generative and conversational AI that powers more proactive, connected, and personalized experiences. At this scale, every innovation you create not only reaches millions of customers worldwide but also comes to life in the very communities where you live, work, and shop.

Requirements

4 –9+ years of experience in data science, machine learning, or applied AI.
Hands on experience building, fine tuning, evaluating, and deploying ML or LLM driven systems.
Strength in one of the following areas: NLP, conversational AI, or agentic workflows
Deep learning and multimodal generative modeling (text, image, video, or 3D)
Experience running scalable, production grade systems that support real customers.
Familiarity with MLOps practices, distributed training, or inference optimization (especially for deep learning specialists).
Ability to balance cutting edge research with real world operational needs.
A track record of influencing engineers, product partners, and designers through clear technical insight.
Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
6 years' experience in an analytics or related field

Nice To Haves

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics,
Successful completion of one or more assessments in Python, Spark, Scala, or R,
Using open source frameworks (for example, scikit learn, tensorflow, torch),
We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

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

Benefits

Incentive awards for performance
401(k) match
Stock purchase plan
Paid maternity and parental leave
PTO
Multiple health plans
Performance bonuses
Company-paid life insurance
Parental leave
Family care leave
Bereavement
Jury duty
Voting leave
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
Walmart-paid education benefit program (Live better U) for full-time and part-time associates