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Position Summary...

What you'll do...

Walmart’s Associate Experience Platform team is seeking a talented **Senior Data Scientist** to help expand our GenAI Experience Platform. You will be helping the team to develop and deploy Generative AI solutions to boost associate productivity day-to-day, as well as providing platform capabilities for internal teams to build their own Generative AI agents and experiences. This role offers the opportunity to contribute to one of Walmart’s **four Super Agents** initiatives, creating real business impact while growing your career in a high-visibility domain.

In this role, you will be building an LLM-powered intelligent experience, inside chatbot or business application, to improve employee experience and productivity. You'll be responsible for designing and building an intelligent conversational interface that enhances communication, automates tasks, accesses data and insights, and provides personalized Q&A support to employees, ultimately creating a more efficient and engaging work environment.

About Team:

The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Tech’s Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.

What you'll do:

+ Collaborate within a **multidisciplinary team** of data scientists, engineers, and product managers.

+ Design, build, and evaluate **machine learning models and pipelines** that power conversational AI and enterprise productivity use cases.

+ Implement **robust evaluation frameworks** for AI/ML solutions, including A/B testing and statistical validation.

+ Partner with ML engineers to **deploy, monitor, and optimize** models in production.

+ Analyze **user telemetry and feedback loops** to drive product improvements.

+ Contribute to the **growth of the team** by mentoring junior DS and sharing best practices.

+ Stay current with **industry trends in GenAI and data science** , applying new techniques where appropriate.

What you'll bring:

Must-Have

+ **Technical Stack Proficiency**

+ Advanced programming in **Python** , proficiency in **SQL** for data extraction/manipulation

+ Experience with **big data tools** (e.g., Spark, Hadoop)

+ Proficiency with **cloud environments** (GCP, Azure, or AWS)

+ **Modeling Expertise**

+ Strong foundation in **machine learning** (supervised, unsupervised, model selection, evaluation)

+ Proficiency in **statistics, hypothesis testing, and experimental design**

+ Experience with **deep learning, NLP, time series, or optimization** techniques

+ **Platform Experience**

+ Hands-on **MLOps** skills (deploying, monitoring, maintaining models in production)

+ **Business Acumen & Communication**

+ Ability to **translate complex analyses into business insights** for non-technical partners

+ **Collaboration & Leadership**

+ Experience working with **cross-functional engineering and product teams**

+ Ability to **mentor junior DS** and contribute to team growth

Nice-to-Have

+ Prior hands-on experience with **Generative AI** (e.g., RAG pipelines, AI agents, MCP)

+ Familiarity with **LLM evaluation frameworks** (e.g., RAGAS)

+ Knowledge of **LangChain / LangGraph** for building natural language interfaces

+ Understanding of **retrieval-augmented generation (RAG)** with vector databases such as **Milvus** or **FAISS**

+ Awareness of **GenAI industry trends and products** ; strong learning agility and growth mindset

+ Experience building **trustworthy AI systems** , including fairness, interpretability, and responsible AI practices

+ **Market Awareness** : keen understanding of existing GenAI products and industry trends

+ **Growth Mindset** : strong willingness to continuously learn, adapt, and explore emerging technologies to drive innovation

+ Awareness of **GenAI industry trends and products** ; strong learning agility and growth mindset

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.

Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.

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.

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You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

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For information about PTO, see https://one.walmart.com/notices .

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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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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.

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For information about benefits and eligibility, see One.Walmart (https://bit.ly/3iOOb1J) .

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The annual salary range for this position is $90,000.00-$180,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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Minimum Qualifications...

_Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications._

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

Preferred Qualifications...

_Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications._

Data science, machine learning, optimization models, Master’s degree 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.

Primary Location...

508 Sw 8Th St, Bentonville, AR 72712, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.