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Micron Technology

SENIOR DATA SCIENTIST, SMAI OI

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeOnsitePosted 1 month ago
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About the role

AI summarised

As a Senior Data Scientist in Micron’s SMAI AT OI team, you will own and sustain MAS (Micron Advanced Scheduler) for backend AT operations, serving as the Subject Matter Expert (SME) for factory scheduling systems. This role requires blending product/process ownership with deep technical leadership to ensure robust, scalable scheduling solutions across sites by developing software programs, algorithms, and automated processes for large dataset management.

IDMOnsiteSmart MFG/AI

Key Responsibilities

  • Define and execute the MAS roadmap for backend AT, owning ARCI, change control, and version/golden-copy management.
  • Partner with IT on release pipelines, environment readiness, risk mitigation, and incident management.
  • Translate business objectives into clear specifications and user stories; prioritize backlog and drive adoption through super-user enablement.
  • Design, optimize, and sustain MAS scheduling logic (dispatching, Q-time controls, line-prioritization); lead L2/L3 troubleshooting in production.
  • Develop robust solutions using C#, Python, and SQL; implement data packages for flow & demand.
  • Build validation tooling and dashboards; perform release KPI checks and performance tuning.
  • Act as the MAS SME and guide sites to build area-level SMEs through OJT, documentation, and BKM capture.
  • Track KPIs/ROI; communicate progress, risks, and strategic recommendations to sponsors and leadership.

Requirements

  • Bachelor’s/Master’s in Industrial Engineering, Operations Research, Computer Science, Data Science, or related discipline.
  • 5+ years in semiconductor manufacturing systems with fab or post-wafer finishing experience.
  • Proficiency in programming languages: C#, Python, and SQL.
  • Direct experience with factory scheduling, simulation, and application development.
  • Strong understanding of MES concepts, equipment automation (e.g., tool interfaces/AMHS/SCADA), and manufacturing data flows.
  • Proven ability to lead cross-functional teams, influence stakeholders, and drive global alignment.