This role supports technical and sustaining engineering activities for planning and production process improvement projects across Treat Operations, with a growing focus on data-driven decision making and business analytics. The successful candidate will develop expertise as a hybrid Process Engineer / Data Scientist, applying analytics to transform data into actionable insights, clarify operational issues in Yokohama Treat, and contribute to end-to-end solutions.
The role assists in analyzing current practices and implementing modifications to improve productivity, lead time and inventory control, and quality through data-driven and software-enabled initiatives. It conducts statistical analyses such as Design of Experiments (DOE) and Statistical Process Control (SPC) to identify physical causes of variation and support continuous improvement. The position works with product/process design, software development, validation, and site functions to ensure that processes and designs are compatible and scalable.

