Walmart
Company
Senior Director, Data Science
Sunnyvale, CA
Job Description
Position Summary...
What you'll do...
Walmart is seeking a Sr. Director of Data Science – Fraud & Risk to lead data science efforts that protect our end-to-end retail and marketplace ecosystem. In this high-impact leadership role, you will oversee teams building models to detect, prevent, and mitigate fraud and risk across buyer, seller, store, and delivery partner flows—supporting billions of transactions across both digital and physical channels. You’ll drive strategy, experimentation, and large-scale deployment of ML solutions that ensure a secure and seamless customer experience while minimizing financial and reputational exposure. This role is ideal for a strategic leader with deep technical roots, strong people leadership, and a proven ability to convert ML innovation into measurable business outcomes. Key Responsibilities- Lead and scale a high-performing data science team focused on fraud and risk model development across e-commerce, in-store, marketplace, and last-mile logistics domains.
- Own the full lifecycle of fraud detection models: problem framing, data ingestion, feature engineering, model training, evaluation, deployment, and continuous monitoring.
- Establish a scalable infrastructure for real-time and batch scoring, including champion/challenger testing, feature drift detection, and shadow deployment pipelines.
- Advance cutting-edge ML research in areas such as graph-based identity resolution, semi-supervised learning, foundation models for behavioral risk, and adversarial detection.
- Establish rigorous model governance: performance monitoring dashboards, data quality checks, bias mitigation, and compliance audits.
- Foster an innovation-driven culture—encouraging rapid prototyping, peer-reviewed experimentation, and contributions to open source and academic publications.
- Translate ML outputs into actionable risk decisions and operational interventions that drive measurable improvement in fraud loss, false positive rate, payment declines, and customer trust.
- Collaborate closely with stakeholders in Product, Engineering, Risk Operations, Legal, and Compliance to embed intelligence into checkout, returns, seller onboarding, driver flows, and more.
- Contribute to executive planning by communicating results, risks, and opportunities with clarity and strategic framing.
- Champion best practices in scientific rigor, model governance, responsible AI, and high-velocity delivery.
- Experience: 10+ years in data science or applied ML, with 5+ years leading teams working on risk, fraud, or trust & safety in high-scale environments (e.g., marketplaces, fintech, e-commerce).
- Technical Expertise: Proven hands-on experience with ML techniques including supervised learning, anomaly detection, graph neural networks, embeddings, and real-time decisioning systems.
- Track record of deploying production-grade models using modern ML infrastructure (e.g., feature stores, real-time scoring, batch pipelines, monitoring/alerting frameworks).
- Demonstrated ability to drive research-to-production innovation—owning both technical strategy and business impact.
- Strong leadership and mentorship experience, with a history of growing high-performing data science teams and shaping inclusive, collaborative cultures.
- Excellent communication skills with the ability to present scientific findings and product impact clearly to executives and cross-functional partners.
- Bonus: Publications, open-source contributions, or patents in ML, fraud detection, or related fields.
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.
For information about PTO, see https://one.walmart.com/notices.
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.
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 $208,000.00-$416,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
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 7years' 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.
3 years' supervisory experience.
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, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, 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...
860 W California Avenue, Sunnyvale, CA 94086-0000, 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.Walmart
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