Senior Data Scientist

Walmart

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Quick summary

Work type: On-site
Location: Sunnyvale, 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. This role involves developing custom data models, building complex datasets from internal and external sources, and conducting advanced statistical analysis to determine trends. The successful candidate will build learning systems to filter continuous data flows, train algorithms for predicting future data characteristics, and validate models for large-scale application. Key responsibilities include researching industry best practices and developing models of the current state to identify improvements. Required technical skills include Python, R, SQL, NoSQL, Hadoop, Spark, Hive, and TensorFlow. The role demands proficiency in machine learning, NLP, and optimization techniques like Linear Programming. Candidates must also utilize tools such as MySQL, Weka, Matlab, Tableau, and GitHub to manage data ecosystems and CI/CD pipelines.

What does a Data Scientist earn in California?

Median $214500 from 118 postings across 27 companies.

See salary data

Skills

Python R TensorFlow PyTorch Hadoop Spark Hive SQL NoSQL MySQL HBase Tableau PowerBI Matplotlib Ggplot NLP NLTK spaCy Gensim Git GitHub CI/CD Vector Databases MapReduce Gurobi LAPack Weka Matlab ILog Neural Networks SVM Random Forest Bayesian Inference Linear Programming Integer Programming Quadratic Programming

What you'll do

Develop custom data models and algorithms to drive innovative business solutions.
Build complex data sets from multiple internal and external sources.
Conduct advanced statistical analysis to determine trends and significant data relationships.
Train, validate, and scale algorithms to large data sets for future predictions.
Research new industry techniques and best practices to support assigned projects.
Utilize tools like MySQL, Hadoop, R, and Python to analyze large data sets.
Design and implement CI/CD pipelines for automated testing and code deployment.
Monitor model evaluation and detect data drift to ensure accuracy.

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 with statistical methods including Graphical Models, Bayesian Inference, Neural Networks, SVM, and Random Forest.
Proficiency in coding with object-oriented programming languages and statistical tools such as Python and R.
Experience with optimization techniques including Newton-Rapson Methods, Gradient Descent, Linear Programming, Integer Programming, and Quadratic Programming.
Experience with database technologies including SQL, NoSQL, Hadoop, Spark, and Hive.
Experience with data visualization tools such as Ggplot, Matplotlib, Ploty, Tableau, and PowerBI.
Experience with Natural Language Processing tasks using NLTK, spaCy, and Gensim.
Experience with machine learning frameworks including TensorFlow and PyTorch.