Job Description

What you'll do at

Position Summary...

What you'll do...

Walmart Global Tech is seeking a highly skilled and experienced Senior Data Scientist to join our Personalization and Recommendation team. This role will be instrumental in driving forward Walmart’s personalization capabilities across multiple touchpoints — from product recommendations and layout optimization to GenAI-powered customer understanding. The ideal candidate combines deep ML expertise with large-scale production experience and thrives in fast-paced, impact-driven environments. 

As part of our team, you’ll join a fast-paced and collaborative environment that blends research with real-world impact. You’ll work closely with world-class engineers, product managers, and fellow scientists to push the boundaries of what personalization means in modern retail — crafting solutions that are fair, relevant, and truly customer-centric at a global scale.

About Team:
Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

What you'll do:

• Design, develop, and productionalize machine learning models for personalized recommendations, layout optimization, and content generation (visual and textual) using structured and unstructured data.
• Lead the development of large-scale ML models leveraging deep learning (Transformers, multi-modal, LLMs), reinforcement learning, and personalization frameworks (e.g., agentic systems).
• Collaborate cross-functionally with engineering, product, and design teams to integrate ML systems into customer-facing applications.
• Build scalable data pipelines and feature stores with data engineers for real-time and batch personalization use cases.
• Employ and experiment with pre-trained foundation models (e.g., BERT, RoBERTa, T5, CLIP) for customer representation and product understanding.
• Apply best-in-class practices in model validation, monitoring, explainability (e.g., SHAP, counterfactuals), and lifecycle management.
• Contribute to research and innovation in personalization by exploring novel architectures and publishing internally or externally where applicable.

What you'll bring:

• Have a MS/PhD in relevant technical degree (preferably Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering etc.) with 2-4 years of relevant work experience.
• Proven experience developing and deploying ML models at scale in a production environment, especially for recommendation systems, ranking, or NLP tasks.
• Proficiency in Python, SQL, and PySpark. Strong familiarity with ML libraries such as TensorFlow, PyTorch, Scikit-Learn, XGBoost.
• Strong knowledge of ML evaluation and diagnostic techniques (A/B testing, ROC-AUC, Precision@K, RMSE, etc.).
• Experience with foundation models and LLMs
• Background in reinforcement learning or agent-based personalization frameworks.
• Experience working with big data tools (Hive, Spark) and modern MLOps practices.

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. 

Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:
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 unique styles, experiences, identities, ideas and opinions.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

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 .

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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 .

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The annual salary range for this position is $117,000.00-$234,000.00

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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...

1395 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America

Job Tags

Permanent employment, Full time, Temporary work, Work experience placement,

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