Distinguished Data Scientist

Walmart

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Bellevue, WA
Salary: $156,000–$312,000 / yr
Employment: Full-time
Posted: 24 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k

This role $234k

$108k $334k

below market most similar roles pay here above market

This role pays more than 85% of similar roles. Most pay $139,375–$214,500 — the blue band above. At the midpoint, this role pays about $234k versus about $177k 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 743 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 541 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Distinguished Data Scientist

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The (USA) Distinguished, Data Scientist joins the Global Governance Technology team to shape the AI/ML vision for security, compliance, privacy, legal, and product safety. This senior individual contributor will architect scalable AI solutions, establish reusable patterns, and mentor senior technical talent to transform complex governance workflows into proactive, measurable capabilities. Day-to-day responsibilities include leading development for production-scale solutions in risk intelligence, investigations, anomaly detection, computer vision, graph analytics, and agentic AI. The role requires deep expertise in machine learning, applied statistics, optimization, and production AI systems, specifically involving GenAI, RAG, and human-in-the-loop workflows. Key technologies and skills include NLP, causal inference, forecasting, Python, Spark, Scala, R, and open source frameworks like scikit-learn, tensorflow, and torch to solve critical enterprise governance problems.

What does a Data Scientist earn in Washington?

Median $199800 from 38 postings across 14 companies.

See salary data

Skills

Machine Learning Generative AI Agentic AI RAG NLP Computer Vision Graph ML MLOps Python Spark Scala R TensorFlow scikit learn Optimization Anomaly Detection Causal Inference Forecasting Statistics

What you'll do

Define the AI/ML strategy for Global Governance across security, compliance, and privacy domains.
Lead the development of production-scale AI solutions for risk intelligence, anomaly detection, and agentic AI.
Architect reusable AI platforms and patterns while establishing evaluation and Responsible AI standards.
Influence build-vs-buy decisions and long-term technology choices for the organization.
Partner with Business, Product, and Engineering teams to move projects from problem framing to deployment.
Mentor senior scientists and engineers to raise technical rigor and drive best practices in MLOps.
Drive enterprise standards for model validation, observability, explainability, and AI governance.

What we're looking for

Must have a Bachelor's degree in a related field and 6 years of analytics experience, a Master's degree and 4 years of experience, or 8 years of experience.
Must have deep expertise in machine learning, applied statistics, optimization, and production AI systems.
Must have hands-on experience in GenAI and agentic architectures including RAG, tool use, orchestration, evaluation, and human-in-the-loop workflows.
Must have experience mentoring senior talent and establishing reusable technical standards or platforms.
Must have a track record of influencing senior technical and business leaders.
Strong knowledge in NLP, computer vision, graph ML, anomaly detection, causal inference, forecasting, or optimization (preferred).
PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics (preferred).
Successful completion of one or more assessments in Python, Spark, Scala, or R (preferred).

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