FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Principal Data Scientist
WalmartPrincipal Data Scientist building Walmart’s recommendation, ranking, and personalization AI systems. Applying deep learning, Generative AI, and petabyte-scale behavioral data to improve global shopping experiences.
Posted 8/24/2026full-timeSunnyvale • California • 🇺🇸 United StatesLead💰 $143,000 - $286,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying advanced analytical models and machine learning solutions, with a strong focus on personalization systems and large-scale data processing. Proven ability to lead cross-functional initiatives and mentor teams while driving innovation in AI applications.
Highest-signal resume keywords
Machine Learning SolutionsRecommendation SystemsGenerative AIDeep Learning ModelsSpark-Based Pipelines
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonScalaPyTorchTransformer ArchitecturesBehavioral Feature PipelinesCausal InferenceA/B TestingReal-Time Model ServingDrift MonitoringContinuous Training
Soft Skills
Excellent CommunicationLeadershipCollaboration
Tools & Technologies
Machine Learning FrameworksPersonalization PlatformsUser Modeling Systems
Industry Keywords
AnalyticsStatisticsEconomicsMathematicsInformation Technology
Tech Stack
Tools & technologiesPythonPyTorchScalaSpark
About the role
Key responsibilities & impact- Lead development and deployment of advanced analytical models and machine learning solutions for complex business challenges
- 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 personalized shopping experiences
- 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 personalization 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
- Collaborate cross-functionally to support data initiatives and deliver measurable business value
- Drive innovation through rigorous testing, model validation, and continuous improvement
Requirements
What you’ll need- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field; or Master's degree in one of these fields and 3 years' experience; or 7 years' experience in an analytics or related field
- 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
- Experience building large-scale Spark-based behavioral signal pipelines
- Knowledge of causal inference, A/B testing, interleaving, and offline/online metric alignment
- 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
- Must work in a drug-free workplace and comply with Walmart's no-tolerance policy regarding illegal drugs and alcohol on the job
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO, including sick leave
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
- Live Better U Walmart-paid education benefit program
- High school completion, bachelor's degree, English Language Learning, and short-form certificate programs through Live Better U
- Tuition, books, and fees completely paid for by Walmart
- Stock may be included as additional compensation for certain positions