Intern, Engineering Data Analytics, SmartSense (Boston, MA)

Posted 11 Days Ago
Be an Early Applicant
Boston, MA, USA
Hybrid
Internship
Cloud • Hardware • Internet of Things
The Role
As a Data Science/Analytics Intern, you will develop analytics solutions, build data models and pipelines, and analyze datasets while gaining hands-on experience and mentorship.
Summary Generated by Built In

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.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Top Skills

Git
Matplotlib
MySQL
Numpy
Opencv
Pandas
Python
PyTorch
Scikit-Learn
Snowflake
SQL
TensorFlow
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The Company
Hopkins, MN
920 Employees
Year Founded: 1985

What We Do

Digi International (Digi) is a leading global provider of mission-critical and business-critical machine-to-machine (M2M) and Internet of Things (IoT) connectivity products and services. We help our customers create next generation connected products and deploy and manage critical communications infrastructures in demanding environments. Our embedded modules and off-the-shelf routers, gateways and network products are designed for relentless reliability and deliver unquestioned performance and security. Our cloud-based software and professional services help customers put their connected products and assets to work across a broad range of mission-critical industry applications. Founded in 1985, we’ve helped our customers connect over 100 million things, and growing.

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