Position Summary...

What you'll do...

About Team:

What you will do

• Design and deliver high-performance ML models for fraud use cases including identity verification, payment risk, returns abuse, and synthetic accounts.
• Build hybrid decision systems that combine ML predictions with business logic for precision and control.
• Ensure models are optimized for both batch and real-time inference environments.
• Partner with engineering teams to define feature pipelines, scoring interfaces, and data contracts.
• Prototype and apply advanced ML techniques such as semi-supervised learning, agentic AI, continual learning, and anomaly detection.
• Collaborate with enterprise ML/AI research teams to translate foundational innovations into real-world fraud solutions.
• Identify and validate new fraud signals and data sources to expand detection coverage.
• Establish governance frameworks for fairness, explainability, documentation, alerting, and drift detection.
• Build dashboards and SQL-based analytics to monitor model health and detect anomalies.
• Lead responsible AI practices and advise cross-functional teams on model risk management.
• Serve as the technical authority for modeling within pod-based execution teams.
• Collaborate with Solutions Engineering to integrate model outputs into APIs, tools, and workflows.
• Partner with Platform & Tools to ensure infrastructure supports agile modeling, experimentation, and retraining.
• Guide QA and release validation for ML components and outputs.
• Mentor senior data scientists, researchers, and analysts across modeling and governance.
• Standardize model experimentation, evaluation, documentation, and deployment practices.
• Represent fraud technology in enterprise-wide forums on responsible AI and risk governance.

What you will bring

• Proven expertise in fraud modeling, ML research, and governance with a track record of delivering production-grade solutions.
• Deep knowledge of supervised, semi-supervised, and unsupervised learning, anomaly detection, and explainable AI.
• Experience designing hybrid decision systems that blend ML with business logic.
• Strong SQL and dashboarding skills for model monitoring and anomaly detection.
• Familiarity with agentic AI, continual learning, and emerging ML techniques.
• Demonstrated leadership in responsible AI practices and model risk management.
• Ability to collaborate across engineering, product, and compliance teams.
• Excellent communication skills and a passion for mentoring and thought leadership.

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.

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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.

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For information about PTO, see https://one.walmart.com/notices.

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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.

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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.

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For information about benefits and eligibility, see One.Walmart.

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The annual salary range for this position is $208,000.00-$416,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- 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 7
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 5 years' experience in an analytics related field. Option 3: 9 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...

640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America