As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, validation, and deployment to support key business decisions. You will collaborate across functions to identify data sources, ensure data quality, and create impactful visualizations that communicate findings effectively. Your work will drive innovation and operational excellence by applying rigorous methodologies to solve multifaceted challenges within a dynamic retail environment.
About the team:
The global fraud data science team develops real-time and batch decisioning services using advanced machine learning and deep learning techniques to address fraud and risk within Walmart Inc. Focused on delivering a safe and seamless shopping experience, the team drives a proactive, outcome-oriented approach that aligns strategically with business goals. It emphasizes real-time decisioning, an adversarial mindset, and operational excellence through MLOps. The team leverages predictive analytics, data strategy, and AI to optimize business value while maintaining robust frameworks that support continuous innovation and effective risk management.
What you'll do:
- Identify and assess relevant data sources to ensure quality and fit-for-purpose data extraction.
- Develop and implement data strategies aligned with business objectives and data governance standards.
- Design, validate, and tune predictive models using advanced statistical and machine learning techniques.
- Create clear and impactful data visualizations to communicate insights to stakeholders.
- Translate complex business problems into data-driven solutions and actionable recommendations.
- Collaborate with cross-functional teams to deploy and monitor models in production environments.
- Mentor team members on analytical methods, coding best practices, and data storytelling.
What you'll bring:
- Proven expertise in data science, including predictive analytics, machine learning and deep learning algorithms, and artificial intelligence applications.
- Proficiency in programming languages such as Python and SQL for data analysis, model development, and automation. Experience in Java or JavaScript is a plus.
- Strong knowledge of data strategy, encompassing data quality, governance, storage, and scalability considerations.
- Experience with advanced data visualization tools and techniques to communicate complex insights effectively.
- Ability to assess, validate, and tune models using statistical methods and performance metrics.
- Understanding of business context to translate requirements into actionable data solutions.
- Skilled in deploying and scaling models in production environments with continuous monitoring.
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.
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...815 Eleventh Ave, Sunnyvale, CA 94089-4731, 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 4 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 2 years of experience in an analytics-related field
- 6 years of experience in an analytics or related field
- Data science, machine learning, and optimization models experience
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, or Applied Mathematics
- 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
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.






