2027 Summer Internship (US) - Data Scientist

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:

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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:

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.