Senior Data Scientist

Walmart

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Bentonville, AR
Salary: $110,302–$180,000 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live yesterday
Closes: Nov 11, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $157k

This role $145k

$99k $214k

below market most similar roles pay here above market

This role pays less than 62% of similar roles. Most pay $126,800–$186,250 — the blue band above. At the midpoint, this role pays about $145k 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 937 open roles on FindRole.

Listed pay typically runs $117,000–$220,000 across 537 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 joins the team to translate complex business problems into mathematical solutions and tangible results. You will identify suitable data sources, perform quality checks, and develop production-grade code for analytical models. Key responsibilities include conducting exploratory data analysis, performing trend and cluster analysis, and designing experiments using causal inference and A/B testing. You will build and monitor feature pipelines, manage model deployment, and create executive dashboards to influence stakeholders. The role requires proficiency in SQL, Python, and big-data tooling for mining high-volume logistics datasets. You must also utilize MLOps, Airflow-style orchestration, and Tableau for BI visualization. By applying supervised and unsupervised machine learning, you will solve practical business problems to improve efficiency, cost, and experience within the logistics domain.

What does a Data Scientist earn?

Median $173200 from 344 postings across 66 companies.

See salary data

Skills

Python SQL Tableau MLOps Airflow ETL Data Warehousing Time-series forecasting Causal inference Feature pipelines Model monitoring big-data Business Intelligence Data Visualization

What you'll do

Identify suitable data sources and perform initial quality checks on extracted data.
Develop and test production-grade code using Python and SQL to build application features.
Select and develop custom analytical models, including time-series forecasting and machine learning.
Conduct exploratory data analysis, hypothesis testing, and trend analysis to provide business insights.
Deploy, scale, and monitor analytical models in production environments using MLOps principles.
Translate complex business requirements into technical projects, mathematical solutions, and measurable KPIs.
Design and build data visualizations and executive dashboards using Tableau or similar frameworks.
Mentor junior associates on modeling techniques, data storytelling, and analytical structures.

What we're looking for

Must have a Master’s degree in a quantitative field plus 1 year of analytics experience.
Must have a Bachelor’s degree in a quantitative field plus 3 years of analytics experience.
Must have experience with SQL and big-data tooling for mining and transforming high-volume logistics datasets.
Must have experience with Python for production-grade data science.
Must have experience with time-series forecasting, MLOps, and product ionization.
Must have experience with experimentation, causal inference, and applying machine learning models.
Must have experience with large-scale algorithm development, testing, and KPI alignment.
Must have experience with Tableau dashboarding, BI visualization, and executive storytelling.