Distinguished, Data Scientist - Agent-Led Engagement in Conversational Commerce

Walmart•Bentonville, AR

1d•$130,000 - $338,000

About The Position

Walmart’s Next Gen Commerce team is building intelligent, proactive shopping agents that go beyond answering customer questions—they drive conversations that are timely, personalized, and value-generating. As a Distinguished Data Scientist for Agent-Led Engagement , you will serve as the key IC partner to the Director of Data Science for this space. You will lead the technical vision, model development, and execution strategy behind proactive engagement in Walmart’s conversational AI experiences.Your focus will be to design and implement systems that empower agents to initiate, sustain, and deepen customer conversations. You’ll build models that combine large language models (LLMs), structured behavior signals, and long-term customer memory to make real-time decisions about when , how , and why to engage. This work sits at the intersection of language understanding, user modeling, decision science, and personalization.This is a hands-on, high-impact IC role requiring deep technical expertise and cross-functional influence. You will work closely with the data science team, as well as engineering, product, design and other internal dependent teams to move fast, experiment boldly, and build systems that shape how millions of customers interact with Walmart every day.

Requirements

7+ years of experience in data science, applied AI, or machine learning, with deep focus on personalization, conversational AI, or decision systems
Demonstrated technical leadership in LLM-driven experiences, customer engagement modeling, or agentic applications
Strong expertise in hybrid modeling (LLM + structured ML), dialogue state modeling, or sequential decision-making
Experience designing or contributing to persistent memory systems for user modeling
Proven ability to turn ideas into deployed, production-scale systems with measurable impact
Strong communication and collaboration skills, with experience driving alignment across science, product, and engineering teams
Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
8 years' experience in an analytics or related field.

Nice To Haves

Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field
Experience in conversational commerce, recommendation systems, or task-oriented dialog agents
Familiarity with contextual bandits, reinforcement learning, or user modeling at scale
Experience working with memory-augmented LLMs or long-context transformer systems
Track record of open-source contributions, publications, patents, or public speaking in applied AI or NLP
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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

Design and implement models that drive agent-led engagement—including topic suggestion, conversation continuation, and goal-driven nudges—based on short-term context and long-term user understanding
Develop LLM-based and hybrid (LLM + traditional ML) systems that detect high-value moments to engage and select relevant actions or content
Build real-time ranking and decision systems that incorporate customer history, behavioral signals, and conversational state
Define and prototype memory architectures that support persistent customer profiles and dynamic, evolving preferences
Collaborate with platform and infra teams to integrate memory and decision modules into the end-to-end conversational stack
Partner with product, UX, and engineering to surface proactive suggestions naturally and meaningfully within conversations
Contribute to experimentation and evaluation frameworks to measure engagement, relevance, conversion, and long-term impact
Review system-level decisions for safety, user experience, and brand alignment
Act as a technical thought partner and advisor to the Director of Agent-Led Engagement and other senior leaders in agentic AI

Benefits

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet.
Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates.
Tuition, books, and fees are completely paid for by Walmart.

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