below marketmost similar roles pay hereabove market
This role pays more than
65%
of similar roles. Most pay
$136,875–$214,500
— the blue band above.
At the midpoint, this role pays about
$195k
versus about
$176k
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
713 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 610 roles with salary data.
JOB TITLE: (USA) Distinguished, Data Scientist
The Distinguished Data Scientist joins the Associate AI Experiences team to provide technical leadership and long-term vision for next-generation AI systems. This senior individual contributor will architect end-to-end ML systems, including data pipelines, feature stores, and production serving layers. Key responsibilities involve building autonomous AI agents, designing agentic evaluation frameworks, and deploying NLP pipelines for semantic similarity. The role requires deep expertise in ML algorithms like XGBoost and CatBoost, deep learning via PyTorch, and production experience with BERT, FAISS, and RAG patterns. You will utilize LangChain, Pydantic AI, and multi-cloud platforms including AWS SageMaker and GCP Vertex AI. The work focuses on solving high-impact business problems by creating intelligent platforms and multi-agent orchestration systems to improve workflows across stores, fulfillment centers, and distribution centers.
What does a Data Scientist earn in Washington?
Median $198000 from 42 postings across 16 companies.
Architect and deploy end-to-end ML systems including data pipelines, feature stores, and production monitoring.
Build and ship production-grade autonomous AI agents using LangChain, Pydantic AI, and RAG patterns.
Design agentic evaluation frameworks to benchmark performance across task completion and multi-step reasoning.
Deploy enterprise-scale NLP pipelines using BERT/SBERT embeddings and vector search.
Provide technical vision and lead development in reinforcement learning, simulation, and agentic AI.
Author technical designs and standards while presenting quantified business impacts to senior leadership.
Mentor senior scientists and engineers on advanced modeling techniques and experimentation design.
Establish best practices for model validation, experimentation, and safe deployment of AI systems.
What we're looking for
Master's degree in Statistics, Economics, Mathematics, Computer Science, Information Technology, or related field and 8+ years of experience in data science or machine learning.
Bachelor’s degree in a related field and 6 years of experience in an analytics related field.
8 years of experience in an analytics or related field.
PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied Mathematics, Econometrics, or related field (preferred).
Deep expertise in ML algorithms (XGBoost, CatBoost, LightGBM, Random Forest, AutoML) and deep learning (PyTorch, transformer architectures).
Production experience with NLP (BERT, SBERT, FAISS, RAG), computer vision (YOLO, CLIP), and time series forecasting (ARIMA, Prophet).
Hands-on experience building and orchestrating multiple AI agents with LangChain, RAG, tool integration, and memory management.
Multi-cloud ML platform proficiency in AWS SageMaker and GCP (Vertex AI, BigQuery, BigQuery ML).
Machine Learning
Gen AI
Python
Spark
Scala
R
TensorFlow
scikit learn
MLOps
Computer Vision
Big Data Analytics
Foundation Models
Optimization Models
WCAG) 2.2 AA
Machine Learning
Gen AI
Python
Spark
Scala
R
TensorFlow
scikit learn
MLOps
Computer Vision
Big Data Analytics
Foundation Models
Optimization Models
WCAG) 2.2 AA