Walmart

Summer 2027 Corporate Intern: Last Mile Delivery Data Science Intern

(USA) Together Building AR Bentonville Home Office

Actively hiring, first seen by us 1 day ago

Pay: $21–40/hour — pay source
For information about benefits and eligibility, see One.Walmart. The hourly wage range for this position is $21.00 - $40.00* *The actual hourly rate will equal or exceed the required minimum wage applicable to the job location.ㅤ
Read the full posting
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates: For current studentsCurrently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field
Employer’s visa record: 6,611 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting

As a Data Science Intern on the Last Mile team, you will work on data-driven problems that directly impact Walmart’s delivery experience and operational performance.

Develop and apply simulation and optimization models to identify opportunities to improve Last Mile operational efficiency.

Analyze large datasets to find trends and operational gaps across Last Mile
Build simulation and optimization models to improve delivery efficiency
Run exploratory and root-cause analysis on key performance metrics
Build and evaluate statistical or machine learning models for business problems
Communicate findings and recommendations to technical and non-technical stakeholders

From the employer’s posting

As a Data Science Intern on the Last Mile team, you will work on data-driven problems that directly impact Walmart’s delivery experience and operational performance. You will partner with Data Scientists, Analysts, and business stakeholders to analyze large-scale data, identify opportunities, and develop insights that help improve Last Mile operations. This is an opportunity to gain hands-on experience applying data science, analytics, simulation, optimization, and AI to real-world business problems at scale. About the team: Our team transforms data into intelligence and ideas into AI-driven solutions, focusing on building trusted, scalable data foundations that support analytics and decision-making. We rapidly prototype AI-powered solutions to explore emerging opportunities and deliver clear performance insights that enable faster, well-informed decisions. By connecting data, intelligence, and action, we empower the organization to accelerate progress, enhance decision quality, and unlock new value through advanced analytics and AI technologies. This collaborative environment fosters innovation and drives impactful outcomes across the company. What you'll do: - Analyze large datasets to identify trends, opportunities, and operational gaps across Last Mile.

Develop and apply simulation and optimization models to identify opportunities to improve Last Mile operational efficiency.

Analyze large datasets to identify trends, opportunities, and operational gaps across Last Mile.

Perform exploratory analysis and root-cause analysis on key operational performance metrics.

Build and evaluate statistical or machine learning models to solve complex business problems.

Communicate analytical findings, and recommendations clearly to technical and non-technical stakeholders.

What you’ll bring

All qualifications

Core experience

Currently pursuing a Bachelor's or Master's in a quantitative field
Experience working with large datasets using SQL and Python
Strong analytical and problem-solving skills
Familiarity with statistics, machine learning, optimization, or data visualization

Qualification wording

Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field.

Experience working with large datasets using SQL and Python.

Strong analytical and problem-solving skills.

Familiarity with statistics, machine learning, optimization, or data visualization.

Education & alternatives

What you'll bring: Basic Qualifications - Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field. - Strong analytical and problem-solving skills.

Apply at Walmart

Posting record

Report an error

Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 13, 20261 day ago
Recorded sightings: 3
Last seen by us: Nov 15, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$195K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,828 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 8 and day 60.

At Walmart, jobs usually come down by about day 3.

From 11,873 similar postings that came down, and 394 of Walmart’s. Coming down is not always a hire.

Walmart is hiring

28 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Scientist hiring is picking up
Takes jobs down quickly
14% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

SQL
Python
GCP

Where the posting names them

- Strong analytical and problem-solving skills. - Experience working with large datasets using SQL and Python. - Familiarity with statistics, machine learning, optimization, or data visualization.

- Experience building dashboards or analytical visualizations. - Familiarity with cloud data platforms such as Google Cloud Platform or similar technologies. - Previous experience with an analytics, data science, or business problem-solving project.

Upload resume Add LinkedIn

Your next step

Complete your application on walmart.wd504.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
“Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About Walmart

People: About 2,100,000 in 2026, about the same as the year before.Annual report (SEC Form 10-K)
Company: Listed as WMT.
H-1B visas: 1,049 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices: Notices this year and last cover 304 people. The latest was filed March 27, 2026.State WARN notices

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Position Summary...

What you'll do...

Role summary:
As a Data Science Intern on the Last Mile team, you will work on data-driven problems that directly impact Walmart’s delivery experience and operational performance. You will partner with Data Scientists, Analysts, and business stakeholders to analyze large-scale data, identify opportunities, and develop insights that help improve Last Mile operations. This is an opportunity to gain hands-on experience applying data science, analytics, simulation, optimization, and AI to real-world business problems at scale.
About the team:
Our team transforms data into intelligence and ideas into AI-driven solutions, focusing on building trusted, scalable data foundations that support analytics and decision-making. We rapidly prototype AI-powered solutions to explore emerging opportunities and deliver clear performance insights that enable faster, well-informed decisions. By connecting data, intelligence, and action, we empower the organization to accelerate progress, enhance decision quality, and unlock new value through advanced analytics and AI technologies. This collaborative environment fosters innovation and drives impactful outcomes across the company.
What you'll do:

Analyze large datasets to identify trends, opportunities, and operational gaps across Last Mile.
Develop and apply simulation and optimization models to identify opportunities to improve Last Mile operational efficiency.
Perform exploratory analysis and root-cause analysis on key operational performance metrics.
Build and evaluate statistical or machine learning models to solve complex business problems.
Contribute to automation and AI-driven solutions that improve operational efficiency and customer experience.
Communicate analytical findings, and recommendations clearly to technical and non-technical stakeholders.
Work with modern data and analytics tools in a large-scale cloud environment.

What you'll bring:
Basic Qualifications

Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field.
Strong analytical and problem-solving skills.
Experience working with large datasets using SQL and Python.
Familiarity with statistics, machine learning, optimization, or data visualization.
Strong communication

Preferred Qualifications

Familiarity with simulation, optimization, operations research, or mathematical modeling.
Experience with machine learning, predictive modeling, or generative AI.
Experience building dashboards or analytical visualizations.
Familiarity with cloud data platforms such as Google Cloud Platform or similar technologies.
Previous experience with an analytics, data science, or business problem-solving project.

At Walmart, we offer competitive pay and other great benefits for a happier mind, body, and wallet!
For information about benefits and eligibility, see One.Walmart.
The hourly wage range for this position is $21.00 - $40.00* *The actual hourly rate will equal or exceed the required minimum wage applicable to the job location.

ㅤ

‎

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

802 Respect Dr, Bentonville, AR 72716, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Source details