Staff Data Scientist - Sam's Fraud Prevention

Wal-Mart; Bentonville (AR); On-site; USD 140,000 - 190,000; Full time

Job summary

Wal-Mart is seeking a Staff Data Scientist for Sam's Fraud Prevention in Bentonville, AR. Lead the architecture and productionization of an Agentic AI-powered fraud decisioning system, leveraging LLM orchestration, graph embeddings, and ML-based risk scoring to aggregate signals and automate decisional outputs.

The role focuses on reducing manual review and latency, with requirements including advanced analytics degrees and strong Python/C++ and ML/DL expertise, including CNNs and Bayesian

Qualifications

• Master's or equiv in Analytics, Econ., CS, or related field, or Bachelor's with 2+ years of analytics experience.
• Proficiency in C++ or Python and experience with ML/DL models, including CNNs and neural networks.
• Experience in data analysis using Python and in applying metrics like F1, precision, recall; hypothesis testing.

Responsibilities

• Architect and productionize an Agentic AI-powered fraud decisioning system using LLM orchestration and graph-derived embeddings.
• Develop ML-based risk scoring to aggregate multi-signal data and generate automated accept/reject recommendations.
• Evaluate model performance and implement improvements to reduce manual review latency.

Job description

Wal-Mart is seeking a Staff Data Scientist - Sam's Fraud Prevention in Bentonville, AR. Job duties incl but not limited to architecting & productionizing Agentic AI-powered fraud decisioning syst leveraging LLM orchestration, graph-derived embeddings, & ML-based risk scoring to aggregate multi-syst signals, synthesize structured risk narratives, & generate automated accept/reject recommendations - materially reducing manual review dependency & decision latency. Master's or equiv in Analytics, Econ., CS, or rel. fld OR Bachelor's or equiv in Analytics, Econ., CS, or rel. fld + 2 yrs of exp in analytics or rel. fld. Skills req'd incl but not limited to exp w/: coding in one of following object-oriented prog'g languages: C++ or Python; Machine Learning & Deep Learning models, incl CNN, Neural Networks & Bayesian Techniques; Stats & Probability; performing data analysis & data collection using Python; identifying & applying metrics for measuring success & failure incl F1, precision, recall & hypothesis testing. Employer will accept any amount of grad coursework, grad research exp or exp w/ req'd skills.

EOE, AAE.