(USA) Senior, Data Scientist

Walmart

Quick summary

Work type
On-site
Location
Bentonville, AR
Salary
$90,000–$180,000 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $157k
This role $135k
$76k most similar roles pay here $223k

This role pays less than 67% of similar roles. Most pay $126,800–$188,050 — the shaded band above. At the midpoint, this role pays about $135k versus about $157k 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 196 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 189 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · (USA) Senior, Data Scientist

As a Senior Data Scientist on Walmart's Ambient Middle Mile Network Strategy team, you will leverage advanced analytical techniques and data science expertise to develop scalable network models that drive strategic business decisions. Your day-to-day responsibilities include identifying relevant data from multiple sources, developing and testing predictive models using Python and SQL, conducting rapid hypothesis-driven analysis, ensuring data quality, translating complex requirements into actionable insights, and creating effective visualizations for stakeholders. The team focuses on transforming the omnichannel supply chain through data modeling, machine learning, and innovative solutions that address large-scale challenges across Walmart's regional distribution centers. Essential skills include extensive experience in linear optimization, database technologies, proficiency in SQL and Python, and a passion for rapid learning in a dynamic environment.

What you'll do

  • Identify and source relevant data from multiple domains for analytical needs.
  • Develop, test, and deploy advanced models using Python and SQL.
  • Conduct fast-paced analysis to validate hypotheses across scenarios.
  • Ensure data quality and integrity for accurate model outcomes.
  • Translate complex business requirements into actionable data-driven solutions.

What we're looking for

  • Extensive experience in data science and advanced analytics, including linear optimization and modeling techniques.
  • Strong knowledge of SQL and Python for data analysis and proficiency in data visualization tools like Matplotlib or Tableau.
  • Ability to translate complex business requirements into actionable data-driven solutions aligned with strategic objectives.
  • Experience in conducting fast-paced hypothesis testing and scenario analysis using programming languages such as Python and SQL.
  • Expertise in ensuring data quality and integrity through rigorous assessments for accurate model outcomes.

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