Principal Data Scientist, Applied AI

Walmart

Quick summary

Work type
On-site
Location
Bentonville, ARSunnyvale, CA
Salary
$110,000–$220,000 / yr
Posted
7 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $165k
$96k most similar roles pay here $244k

This role pays less than 55% of similar roles. Most pay $147,540–$229,350 — the shaded band above. At the midpoint, this role pays about $165k 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 290 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 282 roles with salary data.

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View all roles at Walmart

At a glance

TL;DR · Principal Data Scientist, Applied AI

As a Principal Data Scientist on the Applied AI team, you will lead the technical design and delivery of AI systems that revolutionize HR workflows. You will work closely with business stakeholders to identify key areas for AI transformation, translate complex problems into working prototypes, and develop scalable production systems used by millions globally. Your responsibilities include designing evaluation frameworks, writing production-grade code in Python, and mentoring team members on AI engineering practices. The role requires extensive experience in building and deploying AI systems, including LLM applications, along with strong software engineering fundamentals and proficiency in modern AI tools and frameworks. You will also ensure responsible AI practices and data governance throughout the project lifecycle, driving measurable impact across Walmart’s global operations.

What you'll do

  • Design and build production AI systems including agentic workflows and LLM applications.
  • Translate ambiguous business problems into working prototypes quickly and iteratively.
  • Write production-grade code for scalable deployment of AI solutions.
  • Build evaluation frameworks to measure model performance against real outcomes.
  • Mentor team members on AI engineering, system design, and applied research methods.
  • Ensure responsible AI practices and data governance throughout project lifecycle.

What we're looking for

  • Extensive experience building and deploying AI systems in production.
  • Proficiency in Python and modern AI tooling with strong software engineering fundamentals.
  • Hands-on experience with evaluation methods for AI systems, including testing approaches.
  • Expertise in data engineering, database technologies, and infrastructure supporting production AI.
  • Ability to translate ambiguous business problems into shipped solutions effectively.
  • Track record of moving from prototype to production while maintaining quality and reliability.
  • Effective communication skills to align technical work with business priorities.

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