(USA) Staff, Data Scientist

Walmart

Quick summary

Work type
On-site
Location
Bellevue, WA
Salary
$132,000–$264,000 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $158k
This role $198k
$92k most similar roles pay here $282k

This role pays more than 81% of similar roles. Most pay $126,800–$189,187 — the shaded band above. At the midpoint, this role pays about $198k versus about $158k 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 516 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 510 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · (USA) Staff, Data Scientist

As a Staff Data Scientist at Walmart, you will join a dynamic team developing scalable platforms for intelligent automation and customer-facing AI solutions. Your role involves identifying relevant data sources across multiple business domains, performing rigorous data quality assessments to ensure integrity, and developing advanced predictive models using machine learning techniques. You will translate complex business challenges into actionable insights through clear data visualizations and collaborate with cross-functional teams to deploy these models in production environments while mentoring junior analysts. The position requires expertise in Python, predictive analytics, and data visualization tools, as well as a strong focus on continuous improvement and iterative development within a fast-paced, growth-oriented technology environment.

What you'll do

  • Identify and source relevant data from multiple business domains for analytics initiatives.
  • Perform data quality assessments to ensure integrity for model development.
  • Develop, validate, and tune predictive models using advanced statistical techniques.
  • Translate complex business problems into actionable insights aligned with strategic objectives.
  • Create clear data visualizations to communicate findings to stakeholders effectively.

What we're looking for

  • Expertise in predictive analytics and machine learning techniques.
  • Experience developing and validating advanced analytical models.
  • Proficiency in data visualization to communicate insights effectively.
  • Strong skills in Python for building production systems and workflows.
  • Ability to collaborate with cross-functional teams on complex projects.
  • Mentoring junior team members on analytical methods and best practices.
  • Ownership mindset focused on continuous improvement and learning.

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