Staff Data Scientist

About Our Group:

RMO Sputter Process Engineering team – Be responsible to engineer solutions in the process control monitoring and improvement for PMR and HAMR products and provide technical & engineering support to enhance ultra-high vacuum (UHV) sputter machines with upgrades to improve OEE, unscheduled/scheduled downtime, operations, process capabilities, indirect material (IDM)/hardware/consumables cost reduction, productivity, new product conversion requirements & readiness, media performance and defects reduction.

About The Role - You Will:

• Develop the smart sputter process system, a cornerstone of the smart sputter ecosystem. The system auto performs sputter process control and prediction, quality control, and OEE deep dive.
• Refine sputter machine KPIV (Key Process Input Variables) anomaly monitoring system for optimized HAMR and PMR product configuration.
• Collaborate closely with cross functional teams – Equipment, Process, Launch, Maintenance, IT.

About You:

• Innovative, Integrity, Inclusion
• Strong intra-cultural awareness and organizational sensitivity
• Able to thrive in a fast-paced environment and working with multiple priorities
• Strong team player, collaborative approach and resourceful
• Result-oriented, meticulous, and able to work independently
• Effective communication, interpersonal skills
• Relationship builder with strong stakeholder management abilities

Your Experience Includes:

• Bachelor’s degree in AI, data science, computer science, computer engineering, or any relevant fields
• Knowledge in:
• Python / R Language / C++ / C# programming
• Traditional and Agentic AI
• Machine learning and Deep learning
• Data analytics and Statistical analysis
• SQL Database or equivalent
• GitHub
• Linux
• Kubernetes, Dockers
• Strong experience in data visualization, especially Tableau applications
• Hands on experience in JavaScript / HTML / Django / JSON / Web Development
• Deployment of AI/ML models into real products
• Experience working in a high-tech environment preferred
• Leveraging proven ability to drive change, deliver exceptional support, and collaborate effectively with colleagues as part of a productive team.
• Python / R Language / C++ / C# programming
• Traditional and Agentic AI
• Machine learning and Deep learning
• Data analytics and Statistical analysis
• SQL Database or equivalent
• GitHub
• Linux
• Kubernetes, Dockers

You Might Also Have:

• Knowledge of Thin Film / PVD / CVD / Etch / Ion Beam / Ion Implantation process.  Ultra-High Vacuum tool is an added advantage.

Location:

• Location: Woodlands, Singapore, W2
• Travel: None