below marketmost similar roles pay hereabove market
This role pays more than
57%
of similar roles. Most pay
$162,000–$214,500
— the blue band above.
At the midpoint, this role pays about
$198k
versus about
$188k
for comparable roles.
Based on 240 similar postings.
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
825 open roles
on FindRole.
Listed pay typically runs
$121,000–$242,000
across 473 roles with salary data.
The (USA) Principal, Data Scientist joins the Global Governance Technology team to design and deliver advanced AI/ML capabilities. This role involves building production-scale solutions for risk intelligence, investigations, document intelligence, anomaly detection, entity resolution, graph analytics, forecasting, and optimization. You will develop end-to-end capabilities spanning data preparation, modeling, evaluation, deployment, and monitoring while establishing Responsible AI practices and reusable patterns. The position requires expertise in machine learning, applied statistics, and production AI systems, specifically utilizing GenAI and agentic architectures like RAG, tool use, and orchestration. Key technologies include Python, Spark, Scala, R, scikit-learn, TensorFlow, and Torch. You will solve complex problems across Security, Compliance, Privacy, Legal, Product Safety, and Trade Compliance, moving workflows toward predictive, proactive, and intelligent decision-making.
What does a Data Scientist earn in Washington?
Median $212000 from 33 postings across 16 companies.
Design and deploy production-scale AI/ML solutions for risk intelligence, investigations, and anomaly detection.
Build end-to-end capabilities spanning data preparation, modeling, evaluation, deployment, and monitoring.
Develop advanced GenAI and agentic AI architectures including RAG and tool use.
Partner with Engineering and Product teams on architecture, reusable AI services, and build-vs-buy decisions.
Establish strong evaluation frameworks and Responsible AI practices for all models.
Mentor other scientists and contribute to technical standards and platform strategy.
Translate high-value business problems into scalable AI solutions and reusable patterns.
What we're looking for
Obtain a Bachelor's degree in a related field with 5 years of analytics experience, a Master's degree with 3 years of experience, or 7 years of experience.
Demonstrate strong expertise in machine learning, applied statistics, optimization, and production AI systems.
Possess hands-on experience in GenAI and agentic architectures including RAG, tool use, orchestration, evaluation, and human-in-the-loop workflows.
Exhibit strong programming skills and experience with large-scale data and ML platforms.
Communicate complex technical trade-offs clearly and influence cross-functional teams.
Experience in NLP, graph ML, anomaly detection, causal inference, forecasting, or optimization is highly valued (preferred).
Possess a PhD in a related field, publications, or active peer reviewer status in related journals or conferences (preferred).
Successfully complete assessments in Python, Spark, Scala, or R (preferred).
GenAI
LLMs
Python
Machine Learning
Deep Learning
Spark
Hive
GCP
Azure
CI/CD
TensorFlow
scikit learn
Distributed Systems
ML Pipelines
Natural Language Processing
Scala
R
Computer Vision
Deep Learning
Machine Learning
Python
PyTorch
TensorFlow
MLOps
Multimodal AI
Spark
Scala
R
scikit learn
Data Pipelines
Model Serving
Video Analytics
Object Detection
Segmentation
Representation Learning
Optimization Models
WCAG) 2.2 AA