Senior Data Scientist

Walmart

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Bentonville, AR
Salary: $90,000–$180,000 / yr
Employment: Full-time
Posted: 1 day ago
Freshness: Confirmed live today
Closes: Nov 11, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $157k

This role $135k

$76k $217k

below market most similar roles pay here above market

This role pays less than 67% of similar roles. Most pay $126,800–$186,250 — the blue band above. At the midpoint, this role pays about $135k versus about $157k 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 939 open roles on FindRole.

Listed pay typically runs $117,000–$220,000 across 538 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Senior Data Scientist

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The Senior Data Scientist will join the team to develop customized analytical models and provide actionable insights for complex business problems. The role involves conducting exploratory data analysis, hypothesis testing, and statistical inference on structured datasets. Key responsibilities include designing experiments, refining features, and performing trend and cluster analyses. The candidate will build and deploy production-ready models using techniques such as Bayesian inference, neural networks, support vector machines, and random forests. Required technical skills include proficiency in Python, R, SQL, Java, C++, and PySpark, alongside experience with PyTorch, TensorFlow, and Keras. The position requires applying optimization methods like linear and integer programming, while utilizing tools such as Seaborn and MATLAB for data visualization and ensuring code quality through various testing methodologies.

What does a Data Scientist earn?

Median $173200 from 344 postings across 66 companies.

See salary data

Skills

Python SQL PyTorch TensorFlow Keras R PySpark Java C++ MATLAB Seaborn Deep Learning Machine Learning Natural Language Processing Computer Vision Optimization Object-Oriented Programming Excel

What you'll do

Develop customized analytical models for structured and complex datasets using R, Python, and SQL.
Conduct exploratory data analysis, hypothesis testing, and statistical inference to derive actionable business insights.
Design and execute scientific experiments by identifying key dimensions and testing specific hypotheses.
Perform trend and cluster analyses to address business problems and provide strategic recommendations.
Apply machine learning techniques including neural networks, random forests, and deep learning using PyTorch or TensorFlow.
Build and solve optimization models using linear, integer, and quadratic programming methods.
Evaluate model performance using metrics like ROC curves and RMSE while ensuring production readiness and scalability.
Write and test high-quality code using object-oriented programming and software composition analysis.

What we're looking for

Master’s degree in Computer Science, Statistics, Engineering, or a related field plus 1 year of experience in analytics.
Bachelor's degree in Computer Science, Statistics, Engineering, or a related field plus 3 years of experience in analytics.
Experience coding in object-oriented programming languages, specifically Python.
Experience applying statistical techniques including probability, hypothesis testing, and regression analysis.
Experience applying machine learning techniques such as supervised, unsupervised, and semi-supervised models using PyTorch, TensorFlow, and Keras.
Experience building and solving optimization models using Integer programming or linear programming.
Experience writing SQL queries and working with large datasets using PySpark.
Experience creating data visualizations using Seaborn and MATLAB plot.