Wal-Mart Associates, Inc.Hiring

Principal Data Scientist, Market Intelligence

  • Remote, United States
  • Lead
  • Posted 3 days ago
In one line

Principal data scientist on a market and competitive intelligence team, using statistics, machine learning and LLM tools to guide business decisions; remote in the US.

About the role

Remote role with a small strategy and analytics group that reports into executive leadership. Success means turning messy market data into products and clear recommendations that leaders act on.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
Python, SQL, Machine learning, Data Engineering, Statistics
Posted
26 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Dig through big, complex datasets to spot trends and measure how the business performs against competitors
  • Design and run statistical models and machine learning on structured and unstructured data that moves fast
  • Build AI and LLM powered data products that scale for partners and customers
  • Present findings in reports, visuals and talks to technical and non-technical audiences
  • Coach and mentor the junior data scientists on the team

What they look for

  • A master's in data science, computer science, statistics or a similar analytical field plus at least 4 years of relevant work after graduati
  • Strong Python and SQL skills
  • A solid data engineering base: modular, maintainable code, pipeline design and performance tuning
  • Hands-on work building and scaling AI or LLM agents for automation and information extraction, with guardrails, accuracy checks and human re

Benefits

  • Medical, vision and dental coverage
  • Paid time off including sick, parental, family care, bereavement, jury duty and voting leave

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Questions about this job

Can I do this job remotely, and from which countries?

The posting lists it as remote for people in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a lead role. The posting asks for: a master's in data science, computer science, statistics or a similar analytical field plus at least 4 years of relevant work after graduati; strong Python and SQL skills; a solid data engineering base: modular, maintainable code, pipeline design and performance tuning. Skills it names include Python, SQL, Machine learning, Data Engineering.

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