Principal, Data Scientist

Walmart

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k
This role $198k
$92k most similar roles pay here $282k

This role pays more than 79% of similar roles. Most pay $126,800–$195,456 — the shaded band above. At the midpoint, this role pays about $198k versus about $161k 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.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Principal, Data Scientist

As a Principal Data Scientist at Marketplace, you will lead technical initiatives in architecting data science solutions to drive significant business outcomes. Collaborating closely with a team of experts, you will apply advanced machine learning algorithms and statistical models to large datasets, addressing complex challenges within the ecommerce domain. Your responsibilities include mentoring junior team members, consulting with stakeholders to scale and deploy data-driven products, and contributing to industry advancements through publications and patents. You must possess deep expertise in machine learning foundations, experience with agentic and generative AI, and proficiency in Python, Java/Scala, SQL/Hive, and Spark. Additionally, you should have a strong understanding of the business landscape and excellent stakeholder management skills. This role requires a PhD with over 10 years or a Master’s degree with over 12 years of relevant experience, ideally in Computer Science or a related field.

What you'll do

  • Lead technical role in architecting data science solutions for business outcomes.
  • Apply advanced ML algorithms and statistical models to solve complex problems.
  • Mentor junior team members and guide them in achieving data science goals.
  • Consult with stakeholders to build, scale, and deploy holistic data science products.
  • Stay updated on machine learning research and contribute to industry publications.

What we're looking for

  • Demonstrable experience in architecting large-scale ML systems.
  • Deep knowledge of machine learning foundations with significant original contributions.
  • Expertise in agentic, generative AI, supervised, and unsupervised algorithms.
  • Strong Python coding skills and proficiency in at least one other language.
  • Experience working in a big data ecosystem with SQL/Hive and Spark.
  • Ability to understand business needs and manage stakeholders effectively.
  • Mentoring experience for junior team members in developing ML solutions.

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