(USA) Principal, Data Scientist
- Pay
- $143,000 – $286,000 per year
- Location
- (USA) Crossman Service Building CA SUNNYVALE…
- Listed
- 2 days ago
Role summary
The Principal Data Scientist will lead the design, development, and deployment of AI-powered Search and Personalization systems serving hundreds of millions of customers across Walmart's global eCommerce platforms. This role demands deep expertise in information retrieval, ranking, recommendation systems, and Generative AI applied at production scale.
You will define technical strategy, shape ML architecture, and partner with Product and Engineering to turn ambiguous discovery problems into measurable customer and business outcomes, while mentoring a team of senior scientists raising the bar across the discipline.
What you'll do
- Own end-to-end design and delivery of ML systems for Search ranking, query understanding, retrieval, recommendations, and real-time personalization.
- Build and productionize deep learning and Transformer-based models for relevance, intent classification, and semantic matching.
- Apply Generative AI and LLMs, including RAG and fine-tuning, to improve query understanding and product discovery.
- Design large-scale feature engineering and training pipelines handling petabyte-scale catalog and behavioral signals.
- Define experimentation strategies, offline evaluation frameworks, and online/offline metric alignment for Search and P13n systems.
- Drive technical architecture decisions and influence the long-term AI roadmap.
- Mentor senior scientists and establish team standards for model development and production deployment.
What you'll bring
- Proven track record in Search, Information Retrieval, Ranking, Recommendations, or Personalization at production scale.
- Hands-on experience with PyTorch and Transformer architectures for relevance modeling, semantic search, or multi-task learning.
- Practical experience applying Generative AI to real products, including RAG, instruction fine-tuning, or RLHF.
- Strong engineering skills in Python and Scala, with experience building large-scale Spark-based ML pipelines.
- Solid command of experimentation: causal inference, A/B testing, interleaving, and offline/online metric alignment.
- Experience operationalizing ML systems at scale, including model serving, drift monitoring, and continuous training.
- Excellent communication skills and ability to lead multi-quarter technical initiatives across cross-functional teams.
Pay and 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. 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.
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.
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.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00 - $286,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include
- Stock
Minimum Qualifications
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, 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.
Primary Location
1395 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America
About the team
Walmart's Search & Personalization team shapes how hundreds of millions of customers discover products every day. We sit at the intersection of AI research and global-scale systems, owning query understanding, retrieval, ranking, recommendations, and real-time personalization end to end. We work closely with Ads and Sparky, Walmart's AI shopping assistant, building the science that powers discovery across the full customer journey.
Equal opportunity and legal notices
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.
From Wal-Mart's careers page, first listed on Rolev.ai on November 8, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the (USA) Principal, Data Scientist role at Wal-Mart?
The (USA) Principal, Data Scientist posting at Wal-Mart states compensation of $143,000 – $286,000 per year. Final pay may depend on location, experience, and interview evaluation on Wal-Mart's official career site.
Where is the (USA) Principal, Data Scientist job at Wal-Mart located?
This (USA) Principal, Data Scientist position at Wal-Mart is located in (USA) Crossman Service Building CA SUNNYVALE…. Always check Wal-Mart's application page for specific state eligibility or relocation policies.
How do I apply for the (USA) Principal, Data Scientist position at Wal-Mart?
This listing links directly to Wal-Mart's Workday application page. You can apply directly on Wal-Mart's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.