Join a high-performing, tight-knit team at a fast-growing company using the Internet of Things (IoT) to transform how organizations maintain compliance, enhance safety, and reimagine operations. SmartSense by Digi and Jolt are trusted by some of the world’s most recognizable brands including CVS Health, Walgreens, Walmart, McDonald’s, Jack in the Box, Hartford HealthCare, and Children’s Minnesota to protect their operations and the people they serve. We’re looking for team-oriented change agents who want to help shape the future of IoT.

Join a collaborative, high-performing data and engineering organization at Digi, where we build solutions that help organizations sense, analyze, and act on critical data. As a Data Science / Analytics Intern, you will work on real-world analytics and machine learning initiatives, contributing reusable assets that support future data and image recognition capabilities across the business.

What We Offer

Hands-on experience working on production-adjacent data initiatives
Mentorship from experienced data scientists and engineers
Exposure to real datasets, business problems, and modern analytics tools
Opportunity to deliver reusable work with lasting impact beyond the internship

What You Will Do

Develop analytics solutions to support new data initiatives and business questions
Build reusable data analysis, models, or pipelines using Python, SQL, and related tools
Contribute to a proof-of-concept image recognition or computer vision initiative
Analyze datasets, define metrics, and present insights to technical and non-technical stakeholders
Document work clearly to ensure reusability and maintainability

Who You Are And What You Bring

Currently pursuing a degree in Data Science, Computer Science, Statistics, Engineering, or a related field
Proficiency in Python and data analysis libraries (e.g., pandas, NumPy, matplotlib)
Basic understanding of statistics, data modeling, or machine learning concepts
Experience in SQL language
Ability to communicate findings clearly and document technical work

Preferred Requirements

Familiarity with machine learning or image recognition frameworks (e.g., scikit-learn, TensorFlow, PyTorch, OpenCV)
Experience with relational databases (Snowflake, MySQL)
Experience working with large volumes of data
Interest in building reusable, scalable analytics solutions
Proficiency with Git and version control

Work Authorization Requirement

Candidates must have valid authorization to work in the United States without the need for current or future employer sponsorship. While this is an internship role, Digi International and its companies are not able to provide visa sponsorship for internships, or subsequent potential full-time employment. As a result, we are unable to consider visa applications.

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