Intern, Engineering Data Analytics, SmartSense (Boston, MA)
About The Position
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
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- 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
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What This Job Offers
Career Level
Intern
