Senior Data Scientist

Walmart

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: San Bruno, CA
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Closes: Nov 11, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $161k

$102k $215k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $129,677–$191,562.

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 990 open roles on FindRole.

Listed pay typically runs $117,000–$220,000 across 539 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist

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The Senior Data Scientist joins a project team to provide analytical support for Walmart eCommerce. The role involves developing custom data models, building complex datasets from internal and external sources, and conducting advanced statistical analysis to determine trends. Key responsibilities include building learning systems to filter continuous data flows, training algorithms for predictive modeling, and scaling these techniques to large datasets to improve search results. The candidate will utilize a technical stack including MySQL, Hadoop, Weka, R, Matlab, ILog, HBase, MapReduce, LAPack, and Gurobi. Required skills encompass Python scripting, SQL for data cleaning, C, and experience with PowerBI, Data Studio, and Tableau. The position focuses on causal inference, A/B testing, and descriptive analytics to solve business problems and determine needed improvements.

What does a Data Scientist earn in California?

Median $214500 from 118 postings across 27 companies.

See salary data

Skills

Python R SQL Machine Learning Statistical Analysis PowerBI Tableau Data Studio Hadoop MySQL HBase MapReduce C Matlab Weka ILog Gurobi LAPack Excel A/B testing

What you'll do

Develop custom data models and algorithms to drive innovative business solutions.
Build complex datasets from multiple internal and external sources.
Conduct advanced statistical analysis to determine trends and significant data relationships.
Train, validate, and scale machine learning algorithms to large datasets.
Build learning systems to analyze and filter continuous and offline data flows.
Combine data features to determine and improve search models.
Research new industry techniques and best practices to support assigned projects.
Develop models of the current state to identify and determine needed improvements.

What we're looking for

Master’s degree in a quantitative field and 1 year of analytics experience, or a Bachelor’s degree and 3 years of analytics experience.
Experience preparing and cleaning large and complex datasets using SQL.
Proficiency in Python for scheduling and running weekly summary statistics for metrics tracking.
Experience with data analytics and dashboarding tools including Microsoft Excel, PowerBI, Data Studio, and Tableau.
Experience with programming languages including C, Python, and R.
Experience with statistical analysis tools including A/B testing and T-Tests.
Experience with causal inference to estimate business strategy impact.
Experience with customer analysis, predictive modeling, and running machine learning models.