The Principal Data Scientist will lead the development and deployment of advanced analytical models and machine learning solutions to address complex business challenges. This role requires deep expertise in statistical analysis, AI, and data strategy to translate business needs into scalable, data-driven solutions. The position involves mentoring team members, collaborating cross-functionally, and ensuring the quality and impact of data initiatives. The successful candidate will drive innovation through rigorous testing, model validation, and continuous improvement, supporting Walmart’s commitment to operational excellence and delivering measurable business value.
About the team:
Walmart's Search & Personalization team drives how millions of customers find and engage with products daily. Positioned at the intersection of AI research and large-scale systems, the team owns recommendations, real-time personalization, user modeling, ranking, and behavioral intelligence end to end. Collaborating closely with Ads and Sparky, Walmart's AI shopping assistant, the team develops advanced science that delivers tailored shopping experiences throughout the customer journey. This group leverages expertise in machine learning, deep learning, and AI to build innovative solutions that improve customer engagement, conversion, and business outcomes on a global scale.
What you'll do:
- Own end-to-end design and delivery of personalization ML systems spanning recommendations, user modeling, real-time ranking, and personalized product discovery.
- Build and productionize deep learning models for CTR/CVR prediction, sequential recommendation, and user/item representation learning.
- Apply Generative AI and LLMs, including RAG and fine-tuning, to deliver personalized shopping experiences across the customer journey.
- Design large-scale behavioral feature pipelines handling petabyte-scale user interaction signals in Spark and Scala.
- Define experimentation strategies, offline evaluation frameworks, and online/offline metric alignment for P13n systems.
- Drive personalization 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 building Recommendation Systems, Personalization platforms, or user-facing ranking models at production scale.
- Hands-on experience with PyTorch and Transformer architectures for sequential modeling, user/item embeddings, 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 behavioral signal pipelines.
- Solid command of experimentation: causal inference, A/B testing, interleaving, and offline/online metric alignment for personalization systems.
- Experience operationalizing ML systems at scale, including real-time model serving, drift monitoring, and continuous training.
- Excellent communication skills and ability to lead multi-quarter technical initiatives across cross-functional teams.
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
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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: 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 fieldPreferred 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 AmericaWalmart 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.Skills Required
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 5 years of experience in an analytics-related field
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 3 years of experience in an analytics-related field
- 7 years of experience in an analytics or related field
- Experience building recommendation systems, personalization platforms, or user-facing ranking models at production scale
- Hands-on experience with PyTorch and Transformer architectures for sequential modeling, user/item embeddings, 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, including large-scale Spark-based behavioral signal pipelines
- Experience with causal inference, A/B testing, interleaving, and offline/online metric alignment for personalization systems
- Experience operationalizing machine learning systems at scale, including real-time model serving, drift monitoring, and continuous training
- Excellent communication skills and ability to lead multi-quarter technical initiatives across cross-functional teams
- Background in data science, machine learning, or optimization models
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
- Publications or active peer reviewer experience in related journals or conferences
- Successful completion of assessments in Python, Spark, Scala, or R
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.









