Responsibilities include but are not limited to: Applying operations research and data analytics methods to a logistics, scheduling, or inventory management challenge identified during the division's process improvement initiative; Building and validating an optimization or analytics model (for example, an inventory safety-stock/reorder-point model, a transportation or production scheduling model, or a freight/network optimization analysis) using data from existing reporting, tracking, and automation tools; Auditing and stress-testing data flowing through recently implemented reports, tracking tools, and automation to confirm accuracy and reliability prior to broader deployment; Translating technical findings into a business case (working capital, cost, service-level, or throughput impact) suitable for presentation to plant and division leadership; Collaborating with logistics, scheduling, purchasing, and IT/automation teammates to scope, validate, and document the assigned project; and. Currently enrolled in a Bachelor's degree program in Industrial or Systems Engineering, Operations Research, Applied Mathematics, Statistics, Supply Chain Management, or a related engineering, scientific, or quantitative discipline.