Principal Data Scientist

Walmart

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Bellevue, WA
Salary
$132,000–$264,000 / yr
Posted
99 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $167k
This role $198k
$99k most similar roles pay here $282k

This role pays more than 76% of similar roles. Most pay $137,662–$195,700 — the shaded band above. At the midpoint, this role pays about $198k versus about $167k for comparable roles.

Based on 239 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 184 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 180 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Principal Data Scientist

As a Principal, Data Scientist, you will take a lead technical role within the Marketplace team to architect data science solutions that drive business outcomes. You will work alongside a team of data scientists to solve complex problems by applying advanced machine learning algorithms and statistical models to large volumes of data. Your daily responsibilities include consulting with stakeholders to build, scale, and deploy holistic products after successful prototyping, while mentoring junior team members and contributing to research through publications or patents. The role requires expertise in Python, SQL, Hive, and Spark, along with experience in Agentic, Gen AI, supervised, and unsupervised machine learning. You will operate within a big data ecosystem to solve problems specifically within the ecommerce domain, utilizing your deep knowledge of statistics and machine learning foundations to innovate and drive technical excellence.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

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 technical data science goals.
  • Drive innovation by contributing to research publications and patents in the field of machine learning.
  • Represent the organization in internal technical councils and external industry forums.
  • Develop production-ready solutions using Python, SQL/Hive, and Spark within a big data ecosystem.

What we're looking for

  • A PhD with over 10 years of experience or a Master’s degree with over 12 years of experience in a related field.
  • Alternatively, a Bachelor’s degree with 5 years of experience or 7 years of experience in an analytics-related field.
  • Experience architecting large-scale machine learning systems and making original contributions to research and practice.
  • Expertise in Agentic, Gen AI, supervised, and unsupervised machine learning algorithms on real-world problems.
  • Strong Python coding skills and proficiency in at least one other language such as Java or Scala.
  • Expert knowledge of SQL/Hive and ability to work within a big data ecosystem using Spark.
  • Proven ability to mentor junior team members and manage stakeholders to deliver data science products.
  • Knowledge of open-source frameworks like scikit-learn, TensorFlow, or PyTorch is preferred.

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