Data Scientist III

Position Summary

We are looking for a Data Scientist III to join Sam’s Club fraud detection team. As a Data Scientist III, you will own fraud risks in various product segments and partner with product, engineering, and business teams to set goals, create strategy, detect changing fraud trends, build and implement high‑velocity ML models, and drive innovation across channels. You will also shape the next generation of fraud intelligence using Graph Neural Networks (GNNs), network‑based modeling, and Generative AI techniques to enhance detection accuracy, accelerate investigations, and improve model explainability and decision intelligence.

• Use machine learning to develop models for fraud detection in e‑commerce and in‑club payment fraud, return abuse, account takeover (ATO), and more.
• Design and implement graph‑based fraud detection systems, including link analysis, entity resolution, and GNN models to detect coordinated fraud rings and network‑level risk signals.
• Leverage Generative AI techniques (e.g., LLMs and agentic workflows) to enhance fraud detection, automate investigation workflows, generate risk narratives, and improve model explainability.
• Partner with business and technical stakeholders to translate fraud business problems into data science solutions.
• Work on highly scalable ML models and algorithms in big‑data mining, graph modeling, and related domains.
• Collaborate with engineering teams to implement model pipelines and deploy services at scale.
• Respond quickly to system issues and perform root‑cause analysis.

• Industry experience building production machine learning systems at scale.
• 3–5 years of experience with Python, SQL, and other data manipulation languages.
• Experience with large data sets and distributed computing tools such as PySpark, GCP, and Big Query.
• Hands‑on or strong familiarity with GNNs, graph embeddings, or large‑scale graph processing frameworks.
• Experience with Generative AI or LLM‑based approaches for decision intelligence, feature generation, workflow automation, or explainability.
• Desirable experience in fraud risk solutions.
• Experience working with cross‑functional product and engineering teams to define requirements and incorporate them into roadmaps.

Equal Opportunity Employer
:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity—unique styles, experiences, identities, ideas and opinions—while being inclusive of all people.

• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company‑paid life insurance.
• Paid time off benefits including PTO, parental leave, family care leave, bereavement, jury duty, and voting. PTO and/or PPTO can be used for vacation, sick leave, holidays, or other purposes.
• Other benefits include short‑term and long‑term disability, company discounts, military leave, adoption and surrogacy expense reimbursement, and more.
• Live Better U company‑paid education benefit program covering tuition, books, and fees.

For information about PTO, see

Annual salary range for this position is $90,000–$180,000, with additional compensation including annual or quarterly performance bonuses and, for certain positions, Regional Pay Zone (RPZ) adjustment.

Option 1:
Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field plus 2 years’ experience in an analytics or related field.
Option 2:
Masters degree in the same fields.
Option 3: 4 years’ experience in an analytics or related field.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics. Experience completing Python, Spark, Scala, or R assessments, using open‑source frameworks such as scikit‑learn, Tensor Flow, or PyTorch. Experience in inclusive digital experiences and accessibility best practices following Walmart’s WCAG 2.2 AA standards.

2101 Se Simple Savings Dr, Bentonville, AR , United States of America

Walmart and its subsidiaries maintain a drug‑free workplace and have 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.