Staff, Data Scientist

Walmart

Quick summary

Work type
On-site
Location
Bentonville, AR
Salary
$110,000–$220,000 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $164k
This role $165k
$97k most similar roles pay here $233k

This role pays more than 60% of similar roles. Most pay $129,200–$198,000 — the shaded band above. At the midpoint, this role pays about $165k versus about $164k 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 529 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 523 roles with salary data.

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View all roles at Walmart

At a glance

TL;DR · Staff, Data Scientist

As a Staff Data Scientist at Walmart Global Tech, you will join a dynamic team of data scientists and machine learning engineers to develop and scale data science solutions for the Marketplace domain. Your responsibilities include collaborating with business stakeholders to provide algorithm-based recommendations, mentoring junior members, and executing multiple projects simultaneously while adhering to industry best practices. You will need strong Python coding skills along with proficiency in SQL/Hive and Spark, experience with agentic and Gen AI algorithms, and a solid track record of original research contributions. Ideal candidates have extensive experience in the ecommerce domain and can demonstrate success on data science platforms like Kaggle.

What you'll do

  • Develop and implement scalable solutions for marketing intelligence using machine learning.
  • Provide algorithm-based recommendations to business stakeholders in the Marketplace.
  • Mentor junior data scientists and manage multiple projects simultaneously.
  • Ensure continuous improvement of data science initiatives by following best practices.
  • Stay updated with state-of-the-art research in data science and machine learning.

What we're looking for

  • Extensive experience with state-of-the-art machine learning and statistical algorithms in real-world applications.
  • Strong Python coding skills and proficiency in at least one other programming language like Java or Scala.
  • Expertise in big data ecosystems, including SQL/Hive and Spark.
  • Experience building and deploying advanced ML models (classic ML and deep learning).
  • Solid track record of original research with publications in machine learning and statistics.
  • Ability to consult business stakeholders and mentor junior team members effectively.

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