Principal Data Scientist

Walmart

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Quick summary

Work type: On-site
Location: Bellevue, WA
Posted: 145 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $185k

$121k $236k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $154,512–$214,500.

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 · Principal Data Scientist

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The Principal, Data Scientist will serve as a lead technical architect within the Marketplace team, designing and deploying large-scale machine learning solutions to achieve specific business outcomes. The role involves solving complex problems by applying advanced machine learning algorithms and statistical models to massive datasets. Key responsibilities include mentoring junior team members, consulting with stakeholders to scale holistic data science products, and contributing to research through publications and patents. Candidates must demonstrate expertise in Agentic, Gen AI, supervised, and unsupervised learning. Technical requirements include proficiency in Python, SQL, Hive, and Spark, along with experience in Java or Scala. The work focuses on the ecommerce domain, requiring the ability to translate business needs into technical architectures while maintaining high standards of research and practice.

What does a Data Scientist earn in Washington?

Median $212000 from 33 postings across 16 companies.

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Skills

Machine Learning Python SQL Spark Scala Gen AI TensorFlow scikit learn Hive Statistics Java R Optimization Models WCAG) 2.2 AA

What you'll do

Architect large-scale machine learning systems to achieve specific business outcomes for the Marketplace.
Apply advanced machine learning algorithms and complex statistical models to large volumes of data.
Consult with product and business stakeholders to build, scale, and deploy holistic data science products.
Mentor and guide junior team members in achieving data science outcomes and managing multiple initiatives.
Drive innovation by contributing to research publications and patents while staying updated on machine learning trends.
Represent the organization in internal technical councils and external forums involving the data science community.
Develop and implement Agentic, Gen AI, supervised, and unsupervised machine learning algorithms on real-world problems.
Utilize Python, SQL, Hive, and Spark to work within a big data ecosystem.

What we're looking for

Must have a PhD with over 10 years of experience or a Master’s degree with over 12 years of experience.
Must have a Bachelor’s degree with 5 years of experience or 7 years of experience in an analytics or related field.
Must have demonstrable experience architecting large-scale ML systems.
Must have deep knowledge of machine learning and statistics foundations with significant original contributions to research and practice.
Must have solid experience with Agentic, Gen AI, supervised, and unsupervised machine learning algorithms on real-world problems.
Must have strong Python coding skills and proficiency in at least one other language such as Java or Scala.
Must be an expert in SQL/Hive and able to work with Spark in a big data ecosystem.
Must have experience in the ecommerce domain (preferred).

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