The Staff Data Scientist will leverage advanced analytics, machine learning, and AI to deliver actionable insights that drive strategic business decisions. This role leads end-to-end model development, validation, deployment, and scalable AI/ML solutions within complex data ecosystems. Working cross-functionally, they translate business challenges into data-driven strategies while ensuring operational impact. As a people leader, they are responsible for building, coaching, and developing a high-performing team of data scientists. They provide technical thought leadership, champion the adoption of emerging AI capabilities, and drive innovation through scalable, intelligent solutions across the organization.
About the team:
The Marketplace Payments & Financial Services team enhances the Marketplace ecosystem by enabling reliable seller payouts, driving monetization, and expanding financial products while managing financial and compliance risks. The Data Science function develops advanced models and AI/ML capabilities to strengthen the intelligence layer within Payments & Financial Services. Operating in a fast-paced, high-impact environment, the team collaborates to deliver data-driven solutions that support business goals and accelerate marketplace success. Members leverage expertise in predictive analytics, machine learning, and data visualization to create scalable, effective financial services that drive innovation and growth.
What you'll do:
- Lead the development of scalable AI and data science solutions for a global Marketplace Payments platform across current and future marketplaces.
- Define the technical vision, roadmap, and reusable modeling frameworks for Payments & Financial Services.
- Partner with Product, Engineering, Operations, and Business leaders to deliver data-driven solutions that shape product strategy.
- Champion the adoption of emerging AI capabilities to improve decision-making, automation, and customer experience.
- Build scalable data assets, feature engineering, and model monitoring capabilities.
- Lead, coach, and develop a high-performing team of data scientists.
- Provide technical thought leadership and drive continuous innovation across the organization.
What you'll bring:
- Proven expertise in machine learning, predictive analytics, advanced statistical modeling, and AI, delivering scalable solutions with measurable business impact.
- Demonstrated technical leadership in defining data science strategy and establishing best practices across the model lifecycle.
- Strong people leadership experience, including building, coaching, and developing high-performing data science teams.
- Expertise in Python, SQL, enterprise data architecture, and scalable AI/ML solutions.
- Ability to influence senior leaders and cross-functional partners, translating complex business challenges into data-driven strategies.
- Experience building globally scalable analytical capabilities and championing the adoption of emerging AI technologies.
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-30008: The annual salary range for this position is $110,000.00 - $220,000.00
Sunnyvale, California US-11789: The annual salary range for this position is $143,000.00 - $286,000.00 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 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 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, 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...1601 SE 10th St, Bentonville, AR 72716, 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 related field and 4 years' analytics experience (or equivalent)
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' analytics experience (or equivalent)
- 6 years' experience in an analytics or related field (alternative minimum experience path)
- Proven expertise in machine learning, predictive analytics, advanced statistical modeling, and AI to deliver scalable solutions
- Demonstrated technical leadership defining data science strategy and model lifecycle best practices
- Experience building, coaching, and developing high-performing data science teams (people leadership)
- Expertise in Python
- Expertise in SQL
- Experience with enterprise data architecture and building scalable AI/ML solutions
- Experience building globally scalable analytical capabilities and driving adoption of emerging AI technologies
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
- Experience with Spark, Scala, or R
- Experience using open source frameworks (scikit-learn, TensorFlow, PyTorch)
- Successful completion of assessments in Python, Spark, Scala, or R
- Knowledge of WCAG 2.2 AA accessibility standards and 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
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.







