The Role
Leads advanced data science and machine learning initiatives addressing complex business challenges. Develops predictive models, analytical strategies, and data visualizations to drive business decisions. Partners with cross-functional teams to create scalable data solutions, maintain data quality and governance, and translate requirements into measurable outcomes. Mentors data science professionals and advances analytics best practices across Walmart’s Marketplace Engineering organization.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
As a Distinguished Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models and machine learning solutions to address complex business challenges. This role requires deep expertise in data strategy, predictive analytics, and visualization to translate business needs into actionable insights. You will collaborate across functions to drive data-driven decision-making, mentor team members, and ensure scalable, high-impact solutions. Your work will directly influence Walmart’s strategic initiatives by leveraging innovative technologies and fostering continuous improvement in data science practices.
About the team:
At Walmart Global Tech, the Marketplace Engineering team drives innovation in global commerce by supporting a fast-growing eCommerce platform. The team enables thousands of sellers to efficiently manage digital storefronts, optimizing product listings, pricing, and inventory. They deliver seamless pre- and post-order experiences through intelligent, resilient systems. Leveraging real-time data and integrating with partner platforms across Walmart’s ecosystem, the team ensures exceptional customer experiences. Focused on scalable, reliable solutions, they collaborate across functions to advance technology roadmaps and support sustained business growth.
What you'll do:
What you'll bring:
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 $169,000.00 - $338,000.00
Bellevue, Washington US-11663: The annual salary range for this position is $156,000.00 - $312,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
As a Distinguished Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models and machine learning solutions to address complex business challenges. This role requires deep expertise in data strategy, predictive analytics, and visualization to translate business needs into actionable insights. You will collaborate across functions to drive data-driven decision-making, mentor team members, and ensure scalable, high-impact solutions. Your work will directly influence Walmart’s strategic initiatives by leveraging innovative technologies and fostering continuous improvement in data science practices.
About the team:
At Walmart Global Tech, the Marketplace Engineering team drives innovation in global commerce by supporting a fast-growing eCommerce platform. The team enables thousands of sellers to efficiently manage digital storefronts, optimizing product listings, pricing, and inventory. They deliver seamless pre- and post-order experiences through intelligent, resilient systems. Leveraging real-time data and integrating with partner platforms across Walmart’s ecosystem, the team ensures exceptional customer experiences. Focused on scalable, reliable solutions, they collaborate across functions to advance technology roadmaps and support sustained business growth.
What you'll do:
- Analyze complex business problems using advanced data analytics and machine learning techniques to identify root causes and recommend effective solutions.
- Develop and implement predictive models and data-driven strategies aligned with business objectives to drive measurable impact.
- Design and deliver compelling data visualizations and narratives that clearly communicate insights to stakeholders and influence decision-making.
- Collaborate with cross-functional teams to translate business requirements into scalable data solutions and ensure data quality and governance standards.
- Mentor team members on analytical methods, model validation, and best practices to enhance overall capability and innovation.
What you'll bring:
- Extensive experience in data analysis, machine learning, and predictive modeling to develop innovative solutions.
- Proficiency in feature engineering and advanced statistical methods to enhance model accuracy and robustness.
- Strong knowledge of data visualization tools and techniques to communicate complex insights effectively.
- Ability to translate business requirements into data-driven strategies aligned with organizational objectives.
- Expertise in data governance, quality standards, and scalable data management practices.
- Skilled in coding languages such as Python and SQL for model development and deployment.
- Proven capability to mentor teams and drive continuous improvement in analytics practices.
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 $169,000.00 - $338,000.00
Bellevue, Washington US-11663: The annual salary range for this position is $156,000.00 - $312,000.00 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: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 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 4 years' experience in an analytics related field. Option 3: 8 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, 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...1375 Crossman Ave, Sunnyvale, CA 94089-1114, 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, plus 6 years of experience in an analytics-related field
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 4 years of experience in an analytics-related field
- 8 years of experience in analytics or a related field
- Experience in data science, machine learning, and optimization models
- 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 one or more 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 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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The Company
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.
