Staff Data Scientist - #1131238

Seagate Technology


Date: 4 hours ago
District: Woodlands
Salary: $8,000 - $10,000 / month
Contract type: Full time
Work schedule: Full day
Seagate Technology

About our Group

Join Seagate’s RMO Sputter Equipment Engineering team, where we engineer solutions across mechanical, electrical/electronics, PLC, software & controls, and advanced analytics. Our mission is to enhance ultra-high vacuum (UHV) sputter machines through upgrades that improve OEE, reduce downtime, optimize processes, cut costs, and support new product conversions. We focus on driving productivity, improving media performance, and reducing defects—all while enabling next-generation technologies like HAMR and PMR.

About the role – you will:

  • Develop and maintain the Smart Sputter Maintenance System, automating PM planning, quality control, and OEE analysis.

  • Advance the SIT (Sputter Intelligent Technician) platform to automate PM tasks, improving HPU and OEE.

  • Refine KPIV anomaly monitoring systems for optimized HAMR and PMR configurations.

  • Collaborate with cross-functional teams including Equipment, Process, Launch, Maintenance, and IT.

About you

  • Innovative, inclusive, and integrity-driven.

  • Strong cultural awareness and organizational sensitivity.

  • Thrive in fast-paced environments with multiple priorities.

  • Collaborative team player with resourcefulness and problem-solving skills.

  • Detail-oriented, results-focused, and able to work independently.

  • Excellent communication and stakeholder management abilities.

Your experience includes

  • Bachelor’s degree in AI, Data Science, Computer Science, Computer Engineering, or related fields.

  • Proficiency in:

    • Programming: Python, R, C++, C#.

    • AI/ML: Traditional and Agentic AI, Machine Learning, Deep Learning.

    • Data Analytics & Visualization: Statistical analysis, Tableau.

    • Database & Tools: SQL, GitHub, Linux, Kubernetes, Docker.

  • Hands-on experience in web development (JavaScript, HTML, Django, JSON).

  • Deployment of AI/ML models into real-world products.

  • Experience in high-tech environments will be added advantage

  • Ability to drive change and collaborate effectively across teams.

  • Knowledge of Thin Film, PVD, CVD, Etch, Ion Beam, and Ion Implantation processes, along with familiarity with UHV tools, will be considered an added advantage for this role

 

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