About the role#
This position supports the Greeneville factory by applying data engineering, advanced analytics, automation, and optimization to manufacturing and material-flow challenges. You will work with operations and technical stakeholders to convert business needs into repeatable tools, decision-support solutions, and measurable process improvements.
What you'll do#
- Explore manufacturing, logistics, and material-flow problems.
- Build, improve, and maintain data pipelines.
- Develop interactive dashboards, KPI reporting, and self-service analytical tools.
- Prototype predictive, prescriptive, or machine-learning solutions.
- Create process automations and lightweight applications.
- Integrate databases, enterprise systems, files, and APIs into analytical workflows.
- Apply simulation, optimization, geospatial analysis, or digital-twin concepts.
- Document requirements, data logic, model assumptions, testing, and user guidance.
- Present findings, methods, risks, and recommendations.
- Partner with users to test solutions, gather feedback, troubleshoot issues, and support adoption.
What you'll need#
- Currently pursuing a bachelor’s, master’s, or doctoral degree in Industrial Engineering, Computer Science, Data Science, Business Analytics, Information Systems, or a related technical field.
- Registered as a full-time student at an accredited college or university.
- Cumulative GPA of 2.8 or above.
- Graduation date of Spring 2027 or later.
- Ability to work year-round in parallel with your academic schedule.
- Hands-on programming or analytical experience using Python, SQL, R, Scala, or a comparable language.
- Experience organizing, transforming, validating, and analyzing data from multiple sources.
- Experience developing dashboards, analytical applications, or reporting tools.
- Ability to explain technical work clearly, document solutions, and collaborate with non-technical users.
- Strong problem-solving skills and intellectual curiosity.
Location & details#
- Location: Greeneville, Tennessee.
- Work Modality: On-site.
- Schedule: Approximately 10-20 hours per week during the academic year and up to 35-40 hours per week during the summer.
- Employment Type: Part-time, paid.
About John Deere
John Deere manufactures machinery for agriculture, construction, forestry, and turf care. The company operates globally with a focus on equipment and technology for food, fuel, and infrastructure production. Founded in 1837, the firm maintains its headquarters in Moline, Illinois. It functions as a public company with over 55,000 employees.
How to get in at John Deere
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