About our group:

The RMO Sputter Equipment Engineering team is responsible for engineering solutions in mechanical, electrical, software and controls, and advanced analytic system. We also provide technical support to improve/enhance ultra-high vacuum (UHV) sputter machines with upgrades, OEE, unscheduled/scheduled downtime, operations, process capabilities, indirect material (IDM)/hardware/consumables cost reduction, productivity, new product conversion requirements, media performance and defects reduction. 

About the role - you will:

• Specialize in engineering development, solutions, and deployment of the advanced analytic system through artificial intelligence, machine learning, data analytics and feature engineering in Data Science for Sputter key process input variables (KPIV) automated anomaly detection, monitoring with visualization system, and alerts to establish proper controls to sustain product quality and process performance 
• Coordinate and collaborate with Equipment/Maintenance/IT/Process/Factory Control System teams to integrate models into high performance edge and IT computing systems 

About you:

• Keen interest in Data Science 
• Team player with effective communication and interpersonal skills 
• Resourceful and creative thinker that is committed to finding solutions and making an impact 

Your experience includes:

• Currently pursuing a Bachelor’s/Master’s/PhD in Data Science/Data Engineering  
• Proficiency in Data Science, Data/Feature Engineering and Statistical Modeling 
• Proficiency in Python programming, SQL Database, Tableau, API, Docker, Hadoop 
• Familiar with MS Access, Excel, PowerPoint and Word