✨ About The Role
- The role involves leveraging data-driven insights to optimize manufacturing processes and improve yield.
- Candidates will be responsible for developing predictive models to forecast equipment failures and process deviations.
- The job requires collaboration with fab engineers to identify key performance indicators for process optimization.
- The successful candidate will design data-driven solutions for quality control and defect analysis in semiconductor fabrication.
- Data integration and visualization will be key components of the role, requiring the creation of unified datasets for analysis.
âš¡ Requirements
- The ideal candidate will have a strong background in industrial engineering with a focus on manufacturing processes.
- A minimum of 8 years of relevant experience is required, or 6 years with a master's degree.
- Proficiency in data analysis and statistical modeling is essential, particularly with tools like JMP or Tableau.
- Candidates should possess strong programming skills in languages such as Python and SQL.
- Excellent communication skills are necessary to present findings to both technical and non-technical audiences.