As a Staff Data Scientist at Sam’s Club's fraud detection team, you will lead the development of advanced machine learning models to combat various forms of fraud across e-commerce and in-club payment channels. Your responsibilities include designing graph-based systems using Graph Neural Networks (GNNs) for detecting coordinated fraud rings and leveraging Generative AI techniques to enhance model explainability and automate investigations. You will collaborate closely with product managers, engineers, and business stakeholders to translate complex fraud challenges into actionable data science solutions. The role requires expertise in Python, SQL, PySpark/GCP/BigQuery, and hands-on experience with large-scale graph processing frameworks. This position is crucial for enhancing the accuracy of fraud detection and prevention at one of the world’s largest wholesale clubs, where you will work on highly scalable ML models to protect millions of transactions daily.
Skills
Python
SQL
PySpark
GCP
BigQuery
Graph Neural Networks (GNNs)
Generative AI
LLMs
Agentic workflows
Machine Learning
Distributed Computing
Fraud Detection Systems
Link Analysis
Entity Resolution
Model Explainability
CI/CD
What you'll do
Develop machine learning models for detecting fraud in E-Commerce and In-club payment areas.
Design graph-based systems using link analysis, entity resolution, and GNNs to detect coordinated fraud.
Enhance fraud detection with Generative AI techniques like LLMs and agentic workflows.
Implement highly-scalable ML models and algorithms for big data mining and graph modeling.
Work with engineering teams to deploy machine learning services at scale in production environments.
Conduct root cause analysis on system issues related to fraud detection systems.
What we're looking for
Industry experience in building production machine learning systems at scale.
Expertise in Python, SQL, and distributed computing tools like PySpark/GCP/BigQuery.
Hands-on experience with Graph Neural Networks (GNNs) and large-scale graph processing frameworks.
Experience applying Generative AI techniques for decision intelligence and workflow automation.
Strong collaboration skills to work effectively with cross-functional product and engineering teams.
Proven ability to design and implement highly scalable ML models and algorithms in big data mining.
Market check
Salary context
This
$110,000–$220,000
range sits above
66%
of similar postings on FindRole.
Peer median band
$99,000–$212,850
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$184,900
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Walmart
Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail
Walmart currently has
495 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 487 roles with salary data.
(Usa) Moon Pie Building Ar Bentonville Home Office, US71 days ago
$110,000–$220,000
Python
PySpark
TensorFlow
PyTorch
Keras
Google Cloud Platform
Vertex AI
Kubeflow
Hadoop
CI/CD
MLOps
NLP
Deep Learning
Generative AI
Big Data Analytics
API Development
Kafka Streaming
Vector Databases
LLMs
VLMs
Causal Inference
Statistical Learning