Staff Data Scientist

Walmart

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Quick summary

Work type
On-site
Location
Bellevue, WA
Salary
$132,000–$264,000 / yr
Posted
145 days ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k
This role $198k
$116k $280k
below market most similar roles pay here above market

This role pays more than 58% of similar roles. Most pay $157,844–$214,500 — the blue band above. At the midpoint, this role pays about $198k versus about $186k 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 825 open roles on FindRole.

Listed pay typically runs $121,000–$242,000 across 473 roles with salary data.

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At a glance

TL;DR · Staff Data Scientist

The Staff, Data Scientist joins the Marketplace team to develop and scale data science solutions for the marketing intelligence domain. This role involves collaborating with data scientists and machine learning engineers to implement and test scalable solutions while consulting with business stakeholders on algorithm-based recommendations. The successful candidate will mentor junior members, execute multiple projects simultaneously, and lead initiatives following industry best practices. Key responsibilities include building and deploying state-of-the-art models, including classic machine learning, deep learning, and agentic Gen AI. Required technical skills include Python, SQL, Hive, and Spark, along with proficiency in Java or Scala. The role requires a strong foundation in statistics and machine learning to solve real-world problems within an ecommerce context, specifically focusing on providing actionable business insights through original research.

What does a Data Scientist earn in Washington?

Median $212000 from 33 postings across 16 companies.

See salary data

What you'll do

  • Develop, implement, and test scalable machine learning solutions for the marketing intelligence domain.
  • Consult with business stakeholders to translate algorithm-based recommendations into actionable business strategies.
  • Mentor junior data scientists in developing and deploying machine learning solutions.
  • Individually execute and manage multiple data science projects simultaneously.
  • Build and deploy state-of-the-art classic ML and deep learning models on real-world problems.
  • Manage the continuous improvement of machine learning initiatives by following industry best practices.
  • Utilize SQL, Hive, and Spark to work within a large-scale big data ecosystem.
  • Conduct and report results of original research in machine learning and statistics.

What we're looking for

  • PhD with > 6 years of experience or Master’s degree with > 8 years of experience.
  • Bachelor’s degree in a related field with 4 years of experience or 6 years of experience in an analytics field.
  • Educational qualifications should preferably be in Computer Science or a related area (preferred).
  • Very good knowledge of the foundations of machine learning and statistics with significant original contributions in practice.
  • Solid experience with agentic, Gen AI, supervised, and unsupervised machine learning algorithms on real-world problems.
  • Strong Python coding skills and ability to work with at least one other language such as Java or Scala.
  • Expert in SQL/Hive and ability to work with Spark in a big data ecosystem.
  • Extensive experience building and deploying state-of-the-art models including classic ML and Deep learning.

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