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2027 Summer Internship (US) - Data Scientist

Pay
Multiple pay statements — pay source
Integrity – Commitment to ethical behavior and confidentiality Salary: USD $34.00-$44.50/hour Equal Opportunity Employer:
Pay Range: $0.00 - $0.00 Hourly Zebra Total Rewards:
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

Work authorization
Must already have the right to work in the USMust be authorized to work in the US without requiring sponsorship now or in the future

What you’ll work on

Full posting
  • Support data discovery, transformations and feature engineering for customer projects

  • Help develop and test models and explain their results

  • Take part in root cause diagnostics and model experiments for continuous improvement

  • Contribute to design and training around Agentic AI utilities

From the employer’s posting
data discovery/understanding, data transformations, feature engineering, model development and models explainability
model development and models explainability
root cause diagnostics, models experimentations, internal/external data enrichment and feature enrichments
interns may contribute to the design, development, deployment and training of the user community around these Agentic AI utilities

What you’ll bring

All qualifications

Preferred experience

  • Familiarity with Time Series data and related Retail/CPG use cases such as Demand Forecasting, Inventory Allocation, Assortment Mix & Merchandize Planning, Size & Pack Optimization, Retail Shrink/Fraud/Anomaly Detection, Workforce Management, Scheduling and Task Optimization is preferred, but not mandatory.
  • Communication Skills – Clear and effective verbal and written communication
Qualification wording
Familiarity with Time Series data and related Retail/CPG use cases such as Demand Forecasting, Inventory Allocation, Assortment Mix & Merchandize Planning, Size & Pack Optimization, Retail Shrink/Fraud/Anomaly Detection, Workforce Management, Scheduling and Task Optimization is preferred, but not mandatory.
Communication Skills – Clear and effective verbal and written communication
Apply at Zebra Technologies

Posting record

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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 2, 20261 day ago
Recorded sightings
3
Last seen by us
Nov 4, 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–$193K is typical

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

From 3,721 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 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

Zebra Technologies is hiring

7 open jobs

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

  • Hiring has slowed
  • Takes jobs down at a usual pace
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.

  • AWS
  • Azure
  • Databricks
  • Delta Lake
  • Excel
  • GCP
  • MLflow
  • Spark
  • LightGBM
  • PyTorch
  • scikit-learn
  • TensorFlow
  • XGBoost
Where the posting names them
Preferred Qualifications: - Exposure to cloud services platforms (e.g., Azure, GCP, AWS) including resource optimization, Databricks (Spark, Delta-Live tables, Medallion data architecture, Unity Catalog, Delta Share, MLFlow, parallel/distributed computing, etc.), TensorFlow, PyTorch, Scikit-Learn, XGBoost, LightGBM, CatBoost, TiDE, DenseNet, TimesGPT, Chronos, NBEATSx neural forecasting models, SHAP models’ explainability, Ray distributed computing. - Familiarity with Time Series data and related Retail/CPG use cases such as Demand Forecasting, Inventory Allocation, Assortment Mix & Merchandize Planning, Size & Pack Optimization, Retail Shrink/Fraud/Anomaly Detection, Workforce Management, Scheduling and Task Optimization is preferred, but not mandatory.
- Adaptability and Learning Agility – Willingness to learn quickly, embrace new tools or methods, and thrive in a dynamic, fast-paced environment - Technical Skills – Basic proficiency in Microsoft Office tools (e.g., Excel, Word, PowerPoint) and basic familiarity with technology solutions - Integrity – Commitment to ethical behavior and confidentiality

Your next step

Complete your application on zebra.wd501.myworkdayjobs.com. The employer’s form will show what is required.

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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 ↗

Overview:

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.


Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

 

You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally.


Come make an impact every day at Zebra.


What We're Looking For:

The purpose of this internship is to prepare students for entry into the business world by providing a thorough understanding of the various functions of the Zebra Technologies organization. The program is designed to provide students with experiences that provide insights into a career with Zebra. Students will be positioned for success with training and hands-on experiences, invited to social and development activities, and provided a professional mentor relationship.

Workcloud Professional Services provides data engineering, data science and ML/AI engineering services in the context of implementing, deploying, maintaining and continually improving Zebra Workcloud SaaS supply chain, inventory visibility and workforce management solutions deployed to customers’ production environments. Team members will develop an understanding of retail & CPG industries along with an appreciation for the various business process workflows that our solutions enable.

US Summer Internship Benefits:
Summer Fridays, As Applicable With Your Team
30+ Social and Professional Events in 12 Weeks
Global Immersion With Your Teams and Interns
Intern Allowance (when applicable)

Essential Duties and Responsibilities:

  • Customer Engagements:  Every customer engagement has a need for core data engineering and data science skill sets in the context of data discovery/understanding, data transformations, feature engineering, model development and models explainability.
  • Agentic AI Automation & Innovation: Our teams are also expanding the use of Agentic AI utilities and toolsets.  In this context, interns may contribute to the design, development, deployment and training of the user community around these Agentic AI utilities
  • Ongoing Continuous Improvements: Continuous improvements are a cornerstone of our relationships with our customers.  It recognizes that Data Science & ML/AI activity do not end once the SaaS software solutions have been implemented and deployed to the customers’ production environment.  There is always room for improvement in the performance of the models.  In this context, root cause diagnostics, models experimentations, internal/external data enrichment and feature enrichments are important elements of the continuous improvement services we deliver to our customers. Interns can expect to be engaged in such activities as well, so that they experience the full spectrum of our team’s contributions

 

This position requires hybrid work (3 days/week in office) in the Lincolnshire, IL or Holtsville, NY office.

Required Qualifications:

  • Current enrollment in an graduate degree program in Data Science, Machine Learning, Artificial Intelligence or related discipline.
  • Must have an anticipated graduation date between 2027-2029.
  • Must be authorized to work in the US without requiring sponsorship now or in the future

 

Preferred Qualifications:

  • Exposure to cloud services platforms (e.g., Azure, GCP, AWS) including resource optimization, Databricks (Spark, Delta-Live tables, Medallion data architecture, Unity Catalog, Delta Share, MLFlow, parallel/distributed computing, etc.), TensorFlow, PyTorch, Scikit-Learn, XGBoost, LightGBM, CatBoost, TiDE, DenseNet, TimesGPT, Chronos, NBEATSx neural forecasting models, SHAP models’ explainability, Ray distributed computing.
  • Familiarity with Time Series data and related Retail/CPG use cases such as Demand Forecasting, Inventory Allocation, Assortment Mix & Merchandize Planning, Size & Pack Optimization, Retail Shrink/Fraud/Anomaly Detection, Workforce Management, Scheduling and Task Optimization is preferred, but not mandatory.
  • Communication Skills – Clear and effective verbal and written communication
  • Adaptability and Learning Agility – Willingness to learn quickly, embrace new tools or methods, and thrive in a dynamic, fast-paced environment
  • Technical Skills – Basic proficiency in Microsoft Office tools (e.g., Excel, Word, PowerPoint) and basic familiarity with technology solutions
  • Integrity – Commitment to ethical behavior and confidentiality     


Salary: USD $34.00-$44.50/hour

Equal Opportunity Employer:

Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at workplace.accommodations@zebra.com.

Know Your Rights:

https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf

Conozca sus Derechos:

https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRightsSp_10_20.pdf

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at workplace.accommodations@zebra.com .

Pay Range:

$0.00 - $0.00 Hourly

Zebra Total Rewards:

Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive – including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work.

Salary offered will vary depending on your location, job-related skills, knowledge, and experience.

Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards.

Job Posting Statement:

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

AI Technology Statement:

Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.

Source details

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Pay
Integrity – Commitment to ethical behavior and confidentiality Salary: USD $34.00-$44.50/hour Equal Opportunity Employer:
More source context
Pay Range: $0.00 - $0.00 Hourly Zebra Total Rewards:
Location & working pattern

Lincolnshire, Illinois

- Ongoing Continuous Improvements: Continuous improvements are a cornerstone of our relationships with our customers. It recognizes that Data Science & ML/AI activity do not end once the SaaS software solutions have been implemented and deployed to the customers’ production environment. There is always room for improvement in the performance of the models. In this context, root cause diagnostics, models experimentations, internal/external data enrichment and feature enrichments are important elements of the continuous improvement services we deliver to our customers. Interns can expect to be engaged in such activities as well, so that they experience the full spectrum of our team’s contributions This position requires hybrid work (3 days/week in office) in the Lincolnshire, IL or Holtsville, NY office. Required Qualifications:
Work authorization
- Must have an anticipated graduation date between 2027-2029. - Must be authorized to work in the US without requiring sponsorship now or in the future Preferred Qualifications:

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