Principal, Data Scientist

Walmart

Quick summary

Work type: On-site
Location: Bentonville, AR
Salary: $110,000–$220,000 / yr
Posted: 11 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $161k

This role $165k

$97k most similar roles pay here $233k

This role pays more than 62% of similar roles. Most pay $126,800–$195,856 — the shaded band above. At the midpoint, this role pays about $165k versus about $161k 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 529 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 523 roles with salary data.

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View all roles at Walmart

At a glance

TL;DR · Principal, Data Scientist

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The Principal Data Scientist will lead AI and machine learning initiatives at Walmart US, focusing on enhancing operational decision-making by designing advanced ML/AI solutions and collaborating with cross-functional teams to scale and implement these models. This role involves close partnership with engineering, product, and data science teams to drive innovations in associate work prioritization and workforce planning strategies, while also ensuring ongoing model monitoring and management. The ideal candidate will have over six years of experience in applied ML, including expertise in causal inference frameworks, Bayesian Networks, and operations research methods, as well as proficiency in Python and cloud environments like Azure or Google Cloud. They should be skilled in MLOps practices and agile methodologies to continuously test and deploy data science algorithms, demonstrating the value of their approach through quick prototyping and stakeholder management.

Skills

Python ML/AI Causal Inference Bayesian Networks Operations Research Agentic AI Azure Google Cloud MLOps JIRA Git

What you'll do

Design and prototype advanced ML/AI solutions to enhance operational decision-making.
Scale and implement AI/ML models in collaboration with cross-functional teams.
Monitor and manage ongoing model performance to ensure reliability and accuracy.
Identify growth areas and new opportunities using broad knowledge of AI fields.
Develop large-scale ML/AI solutions, focusing on causal inference frameworks.
Enhance associate efficiency and drive measurable business impact through innovations.

What we're looking for

Extensive experience (over 6 years) in developing large-scale ML/AI solutions and applying causal inference techniques.
Proficiency in Python programming, cloud environments like Azure or Google Cloud, and MLOps practices including version control with Git.
Expertise in core supervised and unsupervised machine learning algorithms, data structures, and agentic AI (preferred).
Strong background in Operations Research methods such as the Newsvendor problem, Travelling Salesman problem, and Shortest Path models.
Ability to collaborate closely with cross-functional teams including engineering, product, and tech data science teams for innovation and implementation of ML/AI solutions.

Hybrid

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