(USA) Data Scientist III

Filled
February 24, 2026
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Job Description

Company: Walmart
Location: Bentonville, Arkansas, United States
Salary Range: $90,000 – $180,000 + performance bonuses
Work Authorization: Immigration sponsorship not available

Position Summary

We are seeking a passionate and creative Data Scientist III to join Walmart’s Data Science team. In this role, you will work with massive business and social datasets generated across Walmart’s online and offline commerce ecosystem. You will transform complex data into actionable insights, enabling data-driven decisions and measurable business impact.

You will collaborate cross-functionally with data scientists, engineers, product managers, and business stakeholders at the intersection of analytics, big data, infrastructure, and operations.

Key Responsibilities

  • Partner with product and business teams to identify fraud trends and patterns through data storytelling and visualization
  • Analyze large-scale, high-dimensional, real-time datasets to detect anomalies and opportunities
  • Build dashboards and reports to monitor business performance metrics
  • Ensure data quality through validation, documentation, and governance best practices
  • Research and apply advanced analytical methods to solve complex business problems

Required Qualifications

Option 1:

  • Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, IT, or related field
  • 2+ years of analytics experience

Option 2:

  • Master’s degree in a related quantitative field

Option 3:

  • 4+ years of relevant analytics experience

Preferred Qualifications

  • Experience in data science, machine learning, or optimization models
  • Proficiency in SQL, Python, or R
  • Experience with distributed data tools such as BigQuery, Hive, or Spark
  • Experience with BI tools (Tableau, Power BI, Looker)
  • Knowledge of open-source ML frameworks (scikit-learn, TensorFlow, PyTorch)
  • Understanding of accessibility standards (WCAG 2.2) is a plus

Benefits

Walmart offers competitive compensation and comprehensive benefits, including:

  • Medical, dental, and vision insurance
  • 401(k) with company contributions
  • Stock purchase program and life insurance
  • Paid time off (PTO/PPTO), parental leave, and family care leave
  • Disability coverage and employee discounts
  • Education benefits through the Live Better U program (tuition fully covered for eligible programs)

Why This Role Is Attractive

  • Work with one of the largest retail datasets in the world
  • Strong compensation range for mid-to-senior data scientists
  • Opportunity to impact fraud detection and business strategy at scale
  • Cross-functional exposure across product, engineering, and business