STAFF DATA SCIENTIST, SMAI OI

1100 Micron SemiAsiaOP Pte Ltd

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+
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Job summary

Micron Technology, Inc. invites applications for a Data Scientist in the SMAI (Smart Manufacturing AI) Global OI – Scheduling and Simulation team. The role focuses on designing and implementing advanced scheduling, optimization, and simulation solutions to drive fab performance.

Location: Singapore (Travel overseas required). The candidate will design and develop AI solutions for factory scheduling and simulation, collaborating across global sites to improve production metrics and benchmarking.

Qualifications

  • Master’s or Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Data Science or related quantitative field.
  • Minimum 3 years hands-on experience in factory scheduling, optimization modeling, or simulation in a manufacturing/ops context.
  • Knowledge and experience in optimization (LP, MIP, meta-heuristics) and tools like CPLEX/Gurobi strongly preferred.
  • Knowledge and experience in discrete event simulation and reinforcement learning preferred.
  • Direct experience with factory scheduling preferred.
  • Willingness to travel overseas.

Responsibilities

  • Design and develop smart manufacturing AI solutions for factory scheduling, optimization, and simulation.
  • Develop high-quality data analytics and apps providing actionable insights for management and manufacturing teams.
  • Explore and apply frontier ideas and technology to enable breakthrough solutions at Micron.
  • Collaborate across global sites to identify opportunities and deliver holistic improvements in production metrics.
  • Drive global alignment and benchmarking of scheduling and simulation solutions.

Skills

Optimization
Scheduling
Data Analytics
Reinforcement Learning
Discrete Event Simulation
Industrial Engineering
Operations Research
Machine Learning

Education

Master’s or Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Data Science

Tools

CPLEX
Gurobi
Simulation software

Job description

Micron Technology, Inc. invites applications for a Data Scientist in the SMAI (Smart Manufacturing AI) Global OI (Operations Intelligence) – Scheduling and Simulation team. The role focuses on designing and implementing advanced scheduling, optimization, and simulation solutions to drive fab performance.

Location

Singapore (Travel overseas required)

Responsibilities
  • Design and develop smart manufacturing and AI solutions in advanced factory scheduling, optimization, and simulation.
  • Develop high‑quality data analytics and applications that provide actionable insights for management and manufacturing teams.
  • Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.
  • Collaborate across global sites to identify opportunities and deliver holistic solutions to drive continuous improvement in production metrics.
  • Drive global alignment and benchmarking of scheduling and simulation solutions.
Qualifications
  • Master’s or Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Data Science or other quantitative disciplines with strong emphasis on optimization, simulation, and algorithmic problem solving.
  • Minimum 3 years of hands‑on experience in factory scheduling, optimization modeling, or simulation in a manufacturing or operations context.
  • Knowledge and experience in optimization (LP, MIP, meta‑heuristics) and tools like CPLEX/Gurobi strongly preferred.
  • Knowledge and experience in discrete event simulation and reinforcement learning preferred.
  • Direct experience with factory scheduling preferred.
  • Strong work ethic, proactive, able to work independently and collaborate effectively with diverse teams.
  • Willingness to travel overseas.
EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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