Data Science Intern | AI/ML & Retail Analytics

Zebra Technologies Corporation

Lincolnshire (IL)

Hybrid

USD 47,000 - 61,000

Part time

6 days ago
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Benefits offered by this job

Summer Fridays
Social events
Global immersion

Job summary

Zebra Technologies Corporation offers a summer internship to explore the business of data science, ML/AI engineering, and data-driven decision making. You will gain hands-on experience with data discovery, transformations, feature engineering, and model explainability in a collaborative team setting.

The program includes trainings, mentorship, and exposure to Agentic AI tools, cloud services, and real-world retail/CPG workflows.

Qualifications

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

Responsibilities

  • Customer Engagements: core data engineering and data science in data discovery/understanding, data transformations, feature engineering, model development and models explainability.
  • Agentic AI Automation & Innovation: contribute to design, development, deployment and training of user community around Agentic AI utilities.
  • Ongoing Continuous Improvements: engage in root cause diagnostics, models experimentation, data enrichment and feature enrichment to improve model performance.

Skills

Communication skills
Learning agility
Microsoft Office basics

Education

Graduate degree program in Data Science/Machine Learning/AI or related

Tools

Databricks
TensorFlow
PyTorch
Scikit-Learn
XGBoost

Job description

Zebra Technologies Corporation offers a summer internship to explore the business of data science, ML/AI engineering, and data-driven decision making. You will gain hands-on experience with data discovery, transformations, feature engineering, and model explainability in a collaborative team setting.

The program includes trainings, mentorship, and exposure to Agentic AI tools, cloud services, and real-world retail/CPG workflows.

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