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Senior Data Scientist
WalmartSenior Data Scientist building production-scale AI for Walmart’s retail search and personalization experiences. Designing machine learning, ranking, recommendation, and generative AI solutions for millions of shoppers.
Posted 8/14/2026full-timeSunnyvale • California • 🇺🇸 United StatesSenior💰 $117,000 - $234,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying machine learning models, particularly in Search, Ranking, Recommendations, and Personalization. Proficient in applying deep learning, NLP, and Generative AI techniques while leading complex technical initiatives and mentoring junior data scientists.
Highest-signal resume keywords
Machine Learning SystemsDeep LearningNatural Language ProcessingPython ProgrammingModel Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningSupervised LearningFeature EngineeringModel OptimizationA/B TestingData AnalysisStatistical ModelingExperiment DesignProduction MonitoringScalability Optimization
Soft Skills
MentoringCollaborationCommunication
Tools & Technologies
SQLCloud-Based ML PlatformsMLOpsDistributed Data Processing
Industry Keywords
SearchRecommendation SystemsPersonalizationAnalyticsData Science
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Design and deploy machine learning models for Search, Ranking, Recommendations, and Personalization
- Apply deep learning, NLP, and Generative AI techniques to improve customer discovery
- Lead experimentation using offline metrics and online A/B testing
- Optimize model performance, scalability, and inference efficiency
- Collaborate with Product Managers, Engineers, and Applied Scientists to define AI roadmaps
- Mentor junior data scientists and contribute to engineering and modeling best practices
- Drive production monitoring and continuous model improvements
- Communicate technical recommendations to leadership and business stakeholders
- Independently drive complex modeling initiatives and deliver production-scale AI solutions
Requirements
What you’ll need- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field; or master’s degree and 1 year of experience; or 5 years' experience in an analytics or related field
- Strong experience building production machine learning systems
- Expertise in supervised learning, deep learning, feature engineering, and model optimization
- Experience with Search, Recommendation Systems, Personalization, NLP, or Ranking preferred
- Strong Python, SQL, and distributed data processing experience
- Familiarity with cloud-based ML platforms and MLOps
- Experience designing experiments and interpreting business impact
- Ability to independently lead complex technical initiatives
Benefits
Comp & perks- Competitive pay
- Performance-based bonus awards
- Medical, vision, and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- Paid time off (including sick leave)
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term disability
- 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
- Fully paid tuition, books, and fees for eligible education programs