Seagate Technology
Staff Data Scientist (Process & Equipment Analytics)
Seagate TechnologySingapore5 days ago
Full-timeEngineering, Information Technology
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 manufacturing environment preferred.
  • Leveraging proven ability to drive change, deliver exceptional support, and collaborate effectively with colleagues as part of a productive team.
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

Key Skills

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