Join Walmart as a Principal Data Scientist to lead advanced analytics initiatives that drive strategic business decisions. This role involves developing and deploying optimization and machine learning models, performing statistical analysis, and leveraging large-scale data to solve complex problems. The position requires collaboration across functions to translate business needs into data-driven solutions, ensuring model accuracy and scalability. The ideal candidate will apply expertise in coding, data visualization, and optimization techniques to enhance operational efficiency and deliver measurable business impact within a dynamic, technology-driven environment.
About the team:
The Inventory Decision Intelligence team, part of Applied AI, develops advanced AI and mathematical optimization solutions to enhance inventory management across Walmart’s network. The team builds scalable, reliable decision systems that optimize how inventory is ordered, positioned, transferred, and managed. Collaborating closely with engineering, product, and business teams, they improve inventory availability and sales while reducing excess and operating costs. Their work delivers improved experiences for customers and associates by applying agentic AI, statistical analysis, and optimization techniques to create consistent, data-driven solutions across varied business environments.
What you'll do:
- Develop, test, and deploy advanced data science solutions using appropriate programming languages and tools.
- Analyze complex business problems to identify root causes and recommend data-driven approaches.
- Identify and validate suitable data sources, ensuring data quality and relevance for modeling.
- Design and implement optimization algorithms or machine learning models, optimizing features and algorithms for accuracy and scalability.
- Evaluate model performance using rigorous validation techniques and adjust models accordingly.
- Collaborate with stakeholders to translate business requirements into actionable data strategies.
- Mentor team members on analytical methods, modeling techniques, and best practices.
What you'll bring:
- Extensive experience in developing and deploying machine learning models using Python and related tools.
- Proficiency in statistical analysis, hypothesis testing, and advanced modeling techniques including deep learning and optimization methods.
- Strong knowledge of data sourcing, quality assessment, and data ecosystem management to ensure fit-for-purpose datasets.
- Ability to translate complex business problems into analytical solutions with measurable impact.
- Expertise in optimization or machine learning as well as model validation, deployment, and lifecycle management for scalable production environments.
- Demonstrated leadership in mentoring teams and driving cross-functional collaboration to deliver data-driven insights.
- Familiarity with cloud platforms such as AWS SageMaker or GCP for model development and deployment.
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.
Bellevue, Washington US-11663: The annual salary range for this position is $132,000.00 - $264,000.00
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
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Minimum Qualifications...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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related fieldPreferred 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, Publications or active peer reviewer in related journals or conference, 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...10900 Ne 4th St, Bellevue, WA 98004, 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 5 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 3 years of experience in an analytics-related field
- 7 years of experience in an analytics or related field
- Experience developing and deploying machine learning models using Python and related tools
- Proficiency in statistical analysis, hypothesis testing, deep learning, and optimization methods
- Knowledge of data sourcing, data quality assessment, and data ecosystem management
- Expertise in optimization or machine learning, model validation, deployment, and lifecycle management for scalable production environments
- Leadership experience mentoring teams and driving cross-functional collaboration
- Familiarity with cloud platforms such as AWS SageMaker or GCP for model development and deployment
- Data science, machine learning, and optimization model experience
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
- Publications or active peer reviewer experience in related journals or conferences
- Successful completion of assessments in Python, Spark, Scala, or R
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or PyTorch
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best 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.
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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.
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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.
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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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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.







