PRINCIPAL DATA SCIENTIST, SMAI OI

Micron Technology
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: phdSkills: ["Executive communication","Cross-functional collaboration","Technical leadership","Continuous improvement"]

Lead advanced scheduling, optimization, and simulation initiatives for semiconductor smart manufacturing. Serve as a technical authority shaping the roadmap and long-term strategy for intelligent manufacturing operations, architecting enterprise scheduling solutions that integrate optimization, discrete event simulation, and reinforcement learning. Develop analytics and applications delivering actionable insights for management and manufacturing teams, and collaborate across global sites to benchmark, align, and continuously improve production performance.

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Micron Technology
Micron Technology
2 months ago

PRINCIPAL DATA SCIENTIST, SMAI OI

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Last checked: 20 hours agoStatus: Live

Job Summary

Lead advanced scheduling, optimization, and simulation initiatives for semiconductor smart manufacturing. Serve as a technical authority shaping the roadmap and long-term strategy for intelligent manufacturing operations, architecting enterprise scheduling solutions that integrate optimization, discrete event simulation, and reinforcement learning. Develop analytics and applications delivering actionable insights for management and manufacturing teams, and collaborate across global sites to benchmark, align, and continuously improve production performance.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define and own the technical roadmap for smart manufacturing and AI solutions in advanced factory scheduling, optimization, and simulation at global scale.
  • •Architect and deliver enterprise-grade semiconductor scheduling solutions integrating optimization, discrete event simulation, and reinforcement learning into production systems.
  • •Develop high-quality data analytics and applications that provide actionable insights for management and manufacturing teams.
  • •Explore and apply frontier ideas, concepts, and technologies to enable breakthrough solutions.
  • •Collaborate across global sites to identify opportunities, drive continuous improvement, and lead global alignment and benchmarking of scheduling and simulation solutions.
Travel: Medium travel

Key Requirements

  • •Ph.D. preferred in Industrial Engineering, Operations Research, Computer Science, Data Science, or a closely related quantitative field; a Master’s with exceptional industry experience will be considered.
  • •Minimum 10 years of hands-on experience in factory scheduling, optimization modeling, and discrete event simulation.
  • •Proven experience leading and delivering large-scale optimization or simulation systems deployed in production with measurable operational impact.
  • •Expert knowledge of optimization (LP, MIP, meta-heuristics) with solvers such as CPLEX or Gurobi, plus strong applied knowledge of discrete event simulation and reinforcement learning.
  • •Strong executive communication skills to present complex technical concepts to technical and non-technical senior audiences; direct factory scheduling experience is highly preferred.
Experience:10+ yearsSemiconductor manufacturingSmart manufacturingArtificial intelligenceReinforcement learningDiscrete event simulation
Education:PhD / Doctorate in Industrial Engineering, Operations Research, Computer Science, Data Science, or a closely related quantitative discipline
Skills:Executive communicationCross-functional collaborationTechnical leadershipContinuous improvement
Tech Stack:OptimizationLPMIPMeta-heuristicsCPLEXGurobiDiscrete event simulationReinforcement learningFactory schedulingSchedulingBenchmarkingData analyticsAWSBig data

Company Brief

Micron Technology
Designs and manufactures semiconductor memory and storage solutions, including DRAM, NAND, and NOR flash, for computing, networking, mobile, and automotive markets worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Boise, United States
Founded: 1978
Glassdoor
Glassdoor: 3.7
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