Principal Data Scientist, Pricing

Walmart

Principal Data Scientist leading pricing algorithm development for Walmart, the world’s largest retailer. Driving revenue optimization through machine learning, forecasting, and pricing strategy leadership.

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

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in pricing optimization through advanced algorithms and data analysis, leveraging strong leadership and communication skills to drive cross-functional collaboration and project execution.

Highest-signal resume keywords

Pricing Algorithm DevelopmentData Science ExpertiseMachine Learning TechniquesPython ProgrammingStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Pricing OptimizationData AnalysisStatistical AnalysisMachine LearningAlgorithm DevelopmentData ValidationData-Driven SolutionsCode ReviewOptimization TechniquesCustomer Behavior Analysis

Soft Skills

LeadershipCommunicationMentoringCollaborationKnowledge Sharing

Tools & Technologies

PythonRScala

Industry Keywords

Pricing ConceptsMarket DynamicsCompetitive PricingAnalyticsData Science

Tech Stack

Tools & technologies

PythonScala

About the role

Key responsibilities & impact

Provide strategic leadership and technical expertise for pricing algorithms and models
Define the vision, roadmap, and priorities for pricing optimization initiatives
Lead the design, development, and deployment of advanced pricing algorithms
Conduct code reviews and ensure coding standards, best practices, and optimization techniques
Analyze large datasets covering customer behavior, market dynamics, and competitive pricing
Oversee evaluation, validation, testing, and optimization of pricing models
Collaborate with product management, engineering, marketing, and finance teams
Translate business needs into data-driven pricing solutions
Monitor industry trends, best practices, and emerging pricing and machine learning technologies
Document methodologies, findings, and recommendations
Communicate technical concepts and insights through presentations, reports, and dashboards
Mentor junior team members and foster knowledge sharing

Requirements

What you’ll need

Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field plus 5 years' analytics-related experience; OR master's degree plus 3 years' experience; OR 7 years' experience in an analytics or related field
8+ years of experience in data science, machine learning, and statistical analysis focused on pricing optimization
Proven experience building and deploying pricing algorithms or models in real-world settings
Expertise in Python, R, or Scala for data analysis and model development
Strong understanding of pricing concepts, methodologies, and strategies across diverse industries
Deep knowledge of machine learning algorithms and techniques, with hands-on pricing applications
Excellent communication and leadership skills
Ability to drive projects from conception to completion in a fast-paced environment
Must be authorized to work for any employer in the United States without current or future visa sponsorship

Benefits

Comp & perks

Incentive awards for performance
401(k) match
Stock purchase plan
Paid maternity and parental leave
PTO
Multiple health plans
Medical, vision, and dental coverage
Company-paid life insurance
Sick 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
Vacation, sick leave, and holiday PTO/PPTO
Live Better U Walmart-paid education benefit program
Tuition, books, and fees completely paid for through Live Better U
Annual or quarterly performance bonuses
Stock compensation may be included for certain positions