Staff Data Scientist, Pricing

Walmart

Staff Data Scientist developing explainable pricing and markdown AI for Walmart, the world’s largest retailer. Building causal, optimization, and machine-learning solutions at enterprise scale.

Posted 8/5/2026full-timeBentonville • California • 🇺🇸 United StatesLead💰 $110,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying machine-learning models for pricing optimization, including causal modeling and elasticity analysis. Proficient in collaborating with cross-functional teams and mentoring data scientists while delivering production-grade solutions with measurable financial outcomes.

Highest-signal resume keywords

Machine-Learning Model DevelopmentCausal ModelingElasticity AnalysisPython ProgrammingExplainable AI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Causal InferenceReinforcement LearningDeep LearningPricing OptimizationElasticity AnalysisA/B ExperimentationFeature EngineeringStatistical AnalysisData ScienceOptimization Models

Soft Skills

Stakeholder CommunicationMentoringCollaboration

Tools & Technologies

PyTorchTensorFlowMLOpsCI/CDSparkScikit-LearnAgentic FrameworksHuman-Centered AI Dashboards

Industry Keywords

Pricing StrategyMarkdown OptimizationPrice ElasticitySupply ChainPromotional ImpactCompetitor IndexingPrice-Point Psychology

Tech Stack

Tools & technologies

CloudPythonPyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact

Design and deploy prescriptive machine-learning models for high-impact pricing and markdown needs
Perform elasticity analysis across large datasets and category segments
Own the end-to-end Price Recommendation lifecycle, including scoping, feature engineering, causal modeling, A/B experimentation, and performance optimization
Develop pricing and optimization solutions using causal inference, elasticity analysis, reinforcement learning, deep learning, and uncertainty quantification
Build explainable pricing systems and provide stakeholder-facing narratives explaining price recommendations
Apply graph-based modeling to capture cannibalization and halo effects across product hierarchies and locations
Establish evaluation and monitoring through historical backtesting, drift detection, and calibration of price-response curves
Build Agentic workflows for chat-based price explainability and what-if scenario planning for merchants
Collaborate with Product, Business, and Engineering teams to set technical direction
Mentor data scientists and machine-learning engineers
Research and develop AI algorithms supporting pricing, markdown optimization, price recommendations, price elasticity, assortment optimization, supply chain, replenishment, and store layout

Requirements

What you’ll need

8+ years in Data Science or Applied ML, or PhD plus 5 years
Deep hands-on exposure to pricing, elasticity, or causal modeling
Experience delivering production-grade optimization models with measurable financial outcomes
Strong knowledge of seasonality, competitor indexing, promotional impact, regime changes, and price-point psychology
Hands-on experience with PyTorch or TensorFlow and modern decision-focused AI architectures
Practical experience with Explainable AI and communicating model reasoning to non-technical stakeholders
Excellent Python coding skills
Strong software engineering fundamentals, including testing, CI/CD, and MLOps
Minimum qualification alternatives: bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field plus 4 years' analytics experience; master's degree in one of these fields plus 2 years' analytics experience; or 6 years' analytics or related experience
Immigration sponsorship is not available; applicants must be authorized to work for any employer in the United States without current or future visa sponsorship
Preferred: causal inference and decision science, advanced graph learning, Spark, feature stores, distributed cloud training, human-centered AI dashboards, LLM-based agentic frameworks, and open-source frameworks such as scikit-learn, TensorFlow, and Torch

Benefits

Comp & perks

Incentive awards for performance
Performance-based bonus awards
401(k) match
Stock purchase plan
Paid maternity and parental leave
PTO, including sick leave
Multiple health plans, including medical, vision, and dental coverage
Company-paid life insurance
Family care leave
Bereavement leave
Jury duty and 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 for full-time and part-time associates, including tuition, books, and fees
English Language Learning and short-form certificate programs
Paid education programs ranging from high school completion to bachelor's degrees