(USA) Senior, Data Scientist

Posted Yesterday
8 Locations
Remote or Hybrid
90K-234K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Develop and deploy scalable machine learning and mathematical optimization models for Walmart’s inventory decision systems. Responsibilities include data exploration, feature engineering, model validation, data quality assessment, visualization, governance, and production readiness. The role translates complex inventory and business requirements into automated, data-driven decisions while collaborating with engineering, product, and business stakeholders.
Summary Generated by Built In
Position Summary...

What you'll do...Role summary:
As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that enhance business outcomes. This role involves designing robust models, performing rigorous validation, and ensuring scalability while collaborating with cross-functional teams to translate complex data into actionable insights. You will guide data strategy, uphold data quality standards, and communicate findings effectively to influence decision-making. Your expertise in operations research, machine learning, statistical methods, and visualization will support Walmart’s commitment to innovation and operational excellence.
About the team:
Inventory Decision Intelligence, part of Applied AI, owns the science and AI capabilities driving how inventory is ordered, positioned, transferred, and managed across Walmart's network. We apply agentic AI and mathematical optimization to build scalable, reliable decision systems that work consistently across businesses, locations, and operating conditions — from defining decision logic and developing models to monitoring performance in production. In close partnership with engineering, product, and business, we improve inventory availability and sales while reducing excess and operating cost, ultimately delivering better experiences for customers and associates.
What you'll do:
  • Design and implement optimization models and machine learning solutions that power intelligent, automated decision-making across inventory management operations.
  • Develop, test, and deploy scalable models using advanced statistical, machine learning, and mathematical optimization techniques.
  • Identify and evaluate data sources aligned with business requirements and quality standards.
  • Perform exploratory data analysis and feature engineering to support model development and decision logic design.
  • Collaborate with stakeholders to translate complex business problems into decision-driven, data-informed solutions.
  • Create clear data visualizations to communicate findings and support decision-making.
  • Ensure compliance with data governance, quality, and deployment standards throughout project lifecycles.

What you'll bring:
  • Experience designing and developing optimization models and machine learning solutions that power automated decision-making systems.
  • Strong foundation in data science, including advanced statistical methods, machine learning, and mathematical optimization techniques.
  • Proficiency in Python and relevant data science libraries; familiarity with data visualization tools to communicate analytical findings.
  • Strong knowledge of database technologies, including SQL and NoSQL systems, and data quality assessment practices.
  • Ability to develop, test, validate, and deploy scalable models with a focus on reliability and production readiness.
  • Solid understanding of business domains with the ability to translate complex requirements into decision-driven, data-informed solutions.
  • Collaborative approach to work cross-functionally with engineering, product, and business stakeholders.
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.
Bentonville, Arkansas US-10735: The annual salary range for this position is $90,000.00 - $180,000.00
Sunnyvale, California US-11658: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

‎ 

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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, Master’s degree 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.

Primary Location...

2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Skills Required

  • Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 3 years of experience in an analytics-related field
  • Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 1 year of experience in an analytics-related field
  • 5 years of experience in an analytics or related field
  • Experience designing and developing optimization models and machine learning solutions
  • Strong foundation in advanced statistical methods, machine learning, and mathematical optimization
  • Proficiency in Python and relevant data science libraries
  • Knowledge of SQL and NoSQL database technologies
  • Experience developing, testing, validating, and deploying scalable models
  • Data science, machine learning, and optimization model experience
  • Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
  • Successful completion of assessments in Python, Spark, Scala, or R
  • Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch
  • Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices

Walmart Global Tech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.

  • Strong & Reliable Incentives Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
  • Retirement Support Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
  • Parental & Family Support Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.

Walmart Global Tech Insights

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The Company
HQ: Bentonville, AR
578,950 Employees

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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