As a Staff Data Scientist on Walmart’s Decision Management Team, you will lead the strategic direction and technical innovation of risk management systems for the e-commerce Marketplace. Your responsibilities include defining long-term modeling strategies, architecting scalable risk detection systems, and driving advanced AI initiatives to protect against fraud and performance risks. You will work with modern ML frameworks like scikit-learn, TensorFlow, and PyTorch, leveraging Python and SQL in a large-scale data environment. Key areas of focus are real-time decision engines, model governance, and cross-functional collaboration to ensure robust risk solutions that align with business objectives. This role demands expertise in machine learning, statistical modeling, and experience leading complex initiatives within e-commerce or fintech ecosystems.
Skills
Python
TensorFlow
PyTorch
scikit-learn
XGBoost
SQL
Apache Spark
Hadoop
AWS
Google Cloud
Kubernetes
CI/CD
A/B testing
Causal inference
Uplift modeling
Reinforcement learning
Deep learning
Graph modeling
Agentic AI
LLMs
Prompt engineering
Feature stores
Model governance
ROC/AUC
Precision/recall
F1 score
Calibration
Drift detection
What you'll do
Define long-term risk modeling strategy for fraud and performance risk mitigation.
Architect scalable risk detection systems integrating machine learning models and real-time decision engines.
Lead development of advanced risk models using deep learning, reinforcement learning techniques.
Champion generative AI applications to enhance model resilience and stress testing capabilities.
Own end-to-end governance of the model lifecycle including validation frameworks and monitoring infrastructure.
Mentor senior data scientists and drive innovation in technical standards and best practices.
What we're looking for
Deep expertise in machine learning and statistical modeling for large-scale fraud and risk detection.
Proven experience architecting and deploying production-grade ML systems in real-time environments.
Strong background in designing model pipelines, feature stores, monitoring systems, and feedback mechanisms.
Advanced proficiency in Python, SQL, and modern ML frameworks like scikit-learn, TensorFlow, and PyTorch.
Demonstrated ability to lead complex initiatives with measurable business impact and influence technical direction.
Expertise in experimentation methodologies including A/B testing, causal inference, uplift modeling, and statistical validation.
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, US72 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