Principal Data Scientist

Walmart

Quick summary

Work type: On-site
Location: San Bruno, CA
Posted: 1 day ago
Closes: Jul 15, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $169k

$108k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $135,000–$203,637.

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 350 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 328 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist

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The Principal Data Scientist role at 850 Cherry Avenue in San Bruno, CA involves leading the development and deployment of advanced media attribution models, including MMM, while collaborating with cross-functional teams. Day-to-day responsibilities include writing optimized SQL queries for data mining and ETL processes on platforms like Hadoop, BigQuery, and Dataproc, designing and executing experimental projects using A/B tests and causal inference methods, and creating compelling data visualizations in tools such as Tableau and PowerBI. The ideal candidate will have expertise in Python for machine learning algorithm development, experience with statistical testing and model deployment, and the ability to provide complex analytics recommendations to executive stakeholders. Key skills include proficiency in SQL, Python, and relevant BI tools, along with a strong background in statistics, economics, or related fields, and at least 5 years of progressively responsible experience in an analytics role.

Skills

Python SQL Hadoop BigQuery Dataproc Tableau PowerBI Adobe Analytics Random Forest XGBoost GitHub Confluence SharePoint CI/CD MLOps

What you'll do

Develop and deploy media attribution models, including MMM.
Design and execute experimental projects using A/B Tests, Causal Inference.
Write optimized SQL queries for data mining and ETL processes in Hadoop.
Create data visualizations using business intelligence tools like Tableau.
Build classification machine learning algorithms such as Logistic Regression.
Provide complex analytics recommendations to executive audiences.
Document codes and methodologies using GitHub and Confluence.

What we're looking for

5+ years of experience in analytics-related fields or a master’s degree with 3+ years of relevant experience.
Proficient in developing and deploying media attribution models, including MMM.
Expertise in designing and executing experimental projects using A/B tests, causal inference, and difference-in-difference methods.
Skilled in writing optimized SQL queries for data mining, ETL processes on Hadoop, BigQuery, Dataproc platforms.
Experience creating data visualizations with business intelligence tools like Tableau, PowerBI, Adobe Analytics.
Capable of building classification machine learning algorithms such as linear regression, logistic regression using Random Forest and XGBoost.

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