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: 150 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 $192k

This role $234k

$112k $333k

below market most similar roles pay here above market

This role pays more than 79% of similar roles. Most pay $153,743–$229,750 — the blue band above. At the midpoint, this role pays about $234k versus about $192k 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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JOB TITLE: Distinguished, Data Scientist The Distinguished, Data Scientist joins the Customer Care Technology team as an individual contributor reporting to the Sr. Director of Engineering and GenAI. This role involves shaping AI strategies, providing thought leadership, and spending 80% of the time coding to design and develop cutting-edge AI solutions and algorithms. Key responsibilities include developing technical visions, driving model execution, and mentoring other data scientists to architect scalable ML systems. The position requires expertise in the full ML development lifecycle, including training, evaluation, and MLOps. Candidates must possess skills in Python, Huggingface, VectorDB, Tensorflow, Pytorch, ElasticSearch, and Azure, with specific experience in generative AI technologies like prompt engineering, guardrails, RAG, KAG, CAG, and fine-tuning. The work focuses on delivering advanced customer service solutions within complex enterprise environments.

What does a Data Scientist earn in Washington?

Median $199800 from 38 postings across 14 companies.

See salary data

Skills

Generative AI MLOps Python Huggingface VectorDB TensorFlow PyTorch ElasticSearch Azure RAG Prompt Engineering Spark Scala R scikit learn

What you'll do

Spend 80% of your time hands-on coding to develop cutting-edge AI solutions and algorithms.
Develop the technical vision and long-term AI strategy for the organization.
Guide and lead data scientists in designing, architecting, and building AI/ML model systems.
Drive the execution of developing, training, and validating complex machine learning models.
Collaborate with machine learning engineers to deploy, operate, and optimize scalable solutions.
Communicate with clients and peer teams to facilitate cross-functional projects and technical decisions.
Stay current on research and development to help the team work through complex technical challenges.

What we're looking for

10+ years of experience in AI Research.
15+ years of experience with full ML development lifecycle.
Experience building machine learning models through all phases from design through training, evaluation, validation, and monitoring.
Experience delivering very large models through the MLOps life cycle.
Experience with generative AI technology stack including prompt engineering, guardrails, advanced RAG, KAG, CAG, and fine-tuning.
Extensive hands-on experience with Python, Huggingface, VectorDB, Tensorflow, Pytorch, ElasticSearch, and Azure.
Authored research publications in top peer-reviewed conferences (NeurIPS/ICML/ICLR/AAAI) or industry-recognized contributions.
Option 1: Bachelor’s degree in a related field and 6 years' experience in an analytics related field.
Option 2: Master’s degree in a related field and 4 years' experience in an analytics related field.
Option 3: 8 years' experience in an analytics or related field.
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).
Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards (preferred).

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