Data Scientist

Micron Technology
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Problem-solving","Continuous improvement"]

Develop predictive and prescriptive machine learning solutions for semiconductor smart manufacturing, improving yield, quality, and productivity using die-level, wafer-level, and test data. Build and productionize classification/regression models, design multi-agent and LLM-enabled workflows (including RAG pipelines), and create maintainable analytical code for high-volume environments. Collaborate on testing, deployment, and monitoring while clearly communicating results to technical and non-technical stakeholders.

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Micron Technology
Micron Technology
1 day ago

Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Develop predictive and prescriptive machine learning solutions for semiconductor smart manufacturing, improving yield, quality, and productivity using die-level, wafer-level, and test data. Build and productionize classification/regression models, design multi-agent and LLM-enabled workflows (including RAG pipelines), and create maintainable analytical code for high-volume environments. Collaborate on testing, deployment, and monitoring while clearly communicating results to technical and non-technical stakeholders.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and productionize machine learning models (classification and regression) for predictive and prescriptive analytics across semiconductor test and manufacturing processes.
  • •Design and implement multi-agent systems for TSE workflows, including code generation, automated troubleshooting, and process optimization.
  • •Develop and improve retrieval-augmented generation (RAG) pipelines by identifying data sources and refining retrieval strategies for LLM-based applications.
  • •Create maintainable analytical pipelines and code suitable for high-volume manufacturing environments, optimizing for performance, latency, and token efficiency.
  • •Collaborate on testing, deployment, and monitoring, and communicate analytical insights, model behavior, and results clearly to technical and non-technical stakeholders.

Pay and Benefits

Perks:Paid LeaveLearning BudgetWellness StipendEquityHealth InsuranceDentalVision

Key Requirements

  • •Bachelor’s in Computer Science, Data Science, Operations Research, Mathematics, or equivalent.
  • •Strong desire to grow as a Data Scientist in highly automated industrial manufacturing.
  • •Proficiency in Python for data analysis and modeling.
  • •Solid foundation in statistics and/or machine learning, including supervised/unsupervised learning, model evaluation, and feature engineering.
  • •Experience with SQL and version control (Git), plus the ability to communicate complex analytical results clearly.
Experience:Industrial manufacturing
Education:Bachelor's
Skills:CommunicationProblem-solvingContinuous improvement
Tech Stack:PythonSQLGitStreamlitPowerBITableauLLMsMulti-agent systemsRAGRetrieval-augmented generationDockerAngularReactFastAPIGoogle Cloud PlatformAWSAzure

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
WebsiteLinkedIn