Part-Time Student Process Automation

This part-time student role supports the Greeneville factory by applying data engineering, advanced analytics, and automation technologies to solve manufacturing and material-flow challenges. The position involves building data pipelines, developing interactive dashboards, and prototyping predictive or machine-learning solutions to improve operational efficiency. Students will collaborate with stakeholders to convert business needs into repeatable tools and measurable process improvements while working in parallel with their academic schedule.