(USA) Staff, Data Scientist

Wal-Mart Stores, Inc.
Bentonville, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 220K

Job location

Bentonville, United States of America

Tech stack

Adobe Analytics
A/B testing
Web Accessibility
Artificial Intelligence
Data analysis
Application Frameworks
Architectural Patterns
Azure
Big Data
Cloud Computing
Continuous Integration
Distributed Computing Environment
Python
Machine Learning
Performance Tuning
Backtesting
TensorFlow
Scala
Web Content Accessibility Guidelines
Reinforcement Learning
Feature Engineering
PyTorch
Large Language Models
Spark
Deep Learning
Scikit Learn
Information Technology
Machine Learning Operations
Software Coding

Job description

What you'll do... We are seeking a Staff Data Scientist to serve as a technical anchor for the Omni Price Recommendation Engine. You will lead the scientific design and end-to-end execution of high-frequency pricing systems that balance competitive positioning with long-term margin health. This is a high-visibility role requiring a deep mastery of Causal Inference, Reinforcement Learning, and Elasticity Modeling.

What You'll Do

  • Design and deploy prescriptive ML models to address high-impact pricing and markdown needs, ensuring alignment with Walmart's Global Tech strategy and EDLP integrity.
  • Perform elasticity analysis across large data sets and category segments to empower data-driven pricing decisions.
  • Own the E2E Price Recommendation lifecycle, including scoping, feature engineering, causal modeling, experimentation (A/B testing), and ongoing performance optimization.
  • Develop advanced pricing and optimization solutions using:
  • Causal Inference & Elasticity: Identification of treatment effects beyond simple log-log approaches (Double ML, Instrumental Variables, Uplift modeling).
  • Optimization & Reinforcement Learning: Multi-armed bandits, Deep RL (PPO, DQN) for sequential decision-making, and constrained optimization.
  • Deep Learning: Modern architectures for demand sensing and price-response curves.
  • Uncertainty Quantification: Bayesian approaches and conformal prediction to manage the risk of price changes.
  • Build explainable pricing systems: Provide model interpretability and stakeholder-facing narratives on "why" a price recommendation was made (e.g., competitor move vs. inventory health).
  • Apply graph-based modeling to capture cannibalization and halo effects across product hierarchies and spatial locations (GNNs, temporal graphs).
  • Establish strong evaluation and monitoring: Backtesting against historical price changes, drift detection, and calibration of price-response curves.
  • Drive best practices in AgentOps: Build Agentic workflows to enable chat-based price explainability and "what-if" scenario planning for Merchants.
  • Collaborate and Mentor: Partner with Product, Business, and Engineering to set technical direction and mentor the next generation of MLEs.

Requirements

  • 8+ years in Data Science / Applied ML (or PhD + 5 years), with deep hands-on exposure to pricing, elasticity, or causal modeling.
  • Demonstrated experience delivering production-grade optimization models with measurable financial outcomes (e.g., Margin lift, Inventory turnover).
  • Strong knowledge of pricing dynamics: Seasonality, competitor indexing, promotional impact, regime changes, and price-point psychology.
  • Hands-on experience with deep learning frameworks (PyTorch or TensorFlow) and modern architectures for decision-focused AI.
  • Practical experience with Explainable AI (XAI) and communicating complex model reasoning to non-technical business stakeholders.
  • Excellent coding skills in Python; strong grasp of software engineering fundamentals (testing, CI/CD, MLOps)., * Experience with Causal Inference & Decision Science: Impact estimation, counterfactuals, and policy evaluation.
  • Advanced Graph Learning: Using GNNs to model cross-item elasticity and substitution patterns.
  • Large-scale Data/Compute: Experience with Spark, Feature Stores, and distributed training in a cloud environment (GCP/Azure).
  • Building Human-Centered AI: Dashboards for "driver decomposition" and "why the price changed" analysis.
  • Agentic Frameworks: Experience deploying LLM-based agents to act as intermediaries between complex models and business users., 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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field

Preferred 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, 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.

Benefits & conditions

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions - while being inclusive of all people., At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. 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. Sunnyvale, California US-11656: The annual salary range for this position is $143,000.00 - $286,000.00 Bentonville, Arkansas US-09158: The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

  • Stock, Discount Card

Get 10% off

Walmart associates are eligible for a 10% discount card on most regular-priced items and fresh produce in-store and on select items at Walmart.com. Eligible after 90 days of employment.

Live Better U

100% covered

Earn a degree or in-demand skills certificates with no debt- Walmart covers 100% of tuition and books. Live Better U offers 60+ programs for Associates to pursue their dreams.

Walmart Academy

Grow your skills

Ready to grow your career? Walmart Academy offers job-specific retail training and leadership courses to help Associates reach their career goals.

Financial perks

Enjoy 401(k) matching and stock purchase plans.

Paid time off

Take a break as needed for vacation, sick leave, holidays, parental leave, and more

Comprehensive health benefits

Medical, dental, vision, and wellness programs for you and your family

Wellbeing programs

Access mental health resources and assistance programs for life's challenges

Career growth opportunities

Training, leadership programs, and clear paths to advance.

Learn more

Life at Walmart

Imagine a workplace surrounded by innovation. At Walmart's new Home Office in Bentonville, Arkansas, we're redefining what it means to work at a global leader.

Set on 350 acres of thoughtfully revitalized land, our new campus seamlessly integrates the charm of Northwest Arkansas with cutting edge design and technology. From biking trails and outdoor courtyards to flexible, tech-enabled workspaces, every detail reflects our commitment to sustainability, connection, and culture.

With amenities like on-site childcare at our Little Squiggles Children's Enrichment Center, the Walton Family Whole Health & Fitness Center, and a vibrant food hall featuring local and international favorites, we're creating a space where work-life balance isn't just a goal-it's a reality.

Beyond the campus, Bentonville offers a dynamic lifestyle with world-class dining, art at the Crystal Bridges Museum, and countless outdoor activities.

Whether you're exploring High South cuisine, enjoying live performances at our new amphitheater, or cycling the Razorback Greenway, you'll experience the perfect blend of small-town charm and big-city amenities.

Join us at Walmart and grow your career alongside a community that feels like home.

This isn't just a workplace-it's a destination for leaders eager to make a difference. Engineering about 16 hours ago (USA) Senior Data Assurance Engineer Walmart Bentonville, Arkansas $90,000.00 - $180,000.00 per year Other about 16 hours ago (USA) Senior Manager, Advanced Analytics (BI Platform Enablement - Operations) Walmart Bentonville, Arkansas $90,000.00 - $180,000.00 per year

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About the company

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

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