Part-Time Student - Process Automation - Greeneville, TN

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.

John Deere is an equal opportunity employer, including disabled & veterans.

Note: Relocation assistance is not provided.

The Part-Time Student Program is primarily designed to augment the Company’s regular full-time staff and is for students who work in parallel to their school schedule YEAR-ROUND .

Your Responsibilities

This position, as a Part-Time Student Process Automation for John Deere Power Products located in Greeneville, TN , supports the Greeneville factory by applying data engineering, advanced analytics, automation, optimization, and emerging AI technologies to practical manufacturing and material-flow challenges. The student will work with operations and technical stakeholders to convert data and business needs into repeatable tools, decision-support solutions, and measurable process improvements.

• Explore manufacturing, logistics, and material-flow problems and translate them into clearly defined analytics or automation projects. • Build, improve, and maintain data pipelines that ingest, clean, validate, combine, and prepare information from multiple sources. • Develop interactive dashboards, KPI reporting, and self-service analytical tools that improve visibility and speed decision-making. • Prototype predictive, prescriptive, or machine-learning solutions for use cases such as material movement, capacity, inventory, quality, safety, maintenance, and workflow optimization. • Create process automations and lightweight applications that reduce repetitive manual effort and improve data consistency. • Integrate databases, enterprise systems, files, and APIs into dependable analytical workflows while maintaining source traceability. • Apply simulation, optimization, geospatial analysis, or digital-twin concepts where they provide practical value to factory operations. • Document requirements, data logic, model assumptions, testing, and user guidance so solutions can be supported and scaled. • Present findings, methods, risks, and recommendations in clear language to both technical and non-technical stakeholders. • Partner with users to test solutions, gather feedback, troubleshoot issues, and support adoption.