The candidate will have competency in several of the following areas: Several years of professional experience applying machine learning, artificial intelligence, advanced statistics, and data science to real-world engineering or manufacturing problems. Integrate data from multiple sources, including process recipes, equipment logs, sensor data, metrology results, defect inspection, and production history.