Staff, Data Scientist

Walmart

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $198k
$79k most similar roles pay here $284k

This role pays more than 79% of similar roles. Most pay $126,800–$191,250 — the shaded band above. At the midpoint, this role pays about $198k versus about $159k 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 191 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 184 roles with salary data.

Most-posted roles

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 scalable solutions for the marketing intelligence domain in Marketplace. Your responsibilities include consulting with business stakeholders across various functions to translate algorithm-based recommendations into actionable strategies, mentoring junior members, and executing multiple projects simultaneously while adhering to industry best practices. You will need strong Python coding skills alongside proficiency in SQL/Hive and Spark within a big data ecosystem, experience with state-of-the-art machine learning algorithms, and the ability to build and deploy advanced models in both classic ML and deep learning frameworks. Ideal candidates have a PhD or Master’s degree with extensive relevant industry experience, particularly in ecommerce, and a track record of original research contributions.

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.
  • Continuously improve data science initiatives by following industry 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 methods.
  • Strong Python coding skills and proficiency in at least one other programming language.
  • Expertise in big data ecosystems, including SQL/Hive and Spark.
  • Experience building and deploying advanced ML models (classic ML and deep learning).
  • Proven ability to consult with business stakeholders and mentor junior team members.
  • Solid track record of original research and publications in machine learning.

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