Data Scientist

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

Develop data-driven AI and machine learning solutions to improve semiconductor manufacturing yield, quality, and productivity. Build predictive and prescriptive models across die-level, wafer-level, and test data, and help design multi-agent and LLM/RAG workflows for troubleshooting and optimization. Create maintainable analytics pipelines for high-volume manufacturing, optimizing performance and communicating results to technical and non-technical stakeholders.

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FursaFursa
Micron Technology
Micron Technology
1 month ago

Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Develop data-driven AI and machine learning solutions to improve semiconductor manufacturing yield, quality, and productivity. Build predictive and prescriptive models across die-level, wafer-level, and test data, and help design multi-agent and LLM/RAG workflows for troubleshooting and optimization. Create maintainable analytics pipelines for high-volume manufacturing, optimizing performance and 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.
  • •Contribute to agentic AI and LLM development for TSE workflows, including multi-agent systems, code generation, troubleshooting, and process optimization.
  • •Develop retrieval-augmented generation (RAG) pipelines by identifying data sources, designing retrieval strategies, and improving context quality.
  • •Create maintainable code and analytical pipelines suitable for high-volume manufacturing environments, optimizing for performance, latency, and token efficiency.
  • •Communicate analytical insights and model behavior clearly to technical and non-technical stakeholders while collaborating on testing, deployment, and monitoring.

Key Requirements

  • •Bachelor's degree in Computer Science, Data Science, Operations Research, Mathematics, or equivalent.
  • •Proficiency in Python for data analysis and modeling.
  • •Strong foundation in statistics and/or machine learning, including supervised/unsupervised learning, model evaluation, and feature engineering.
  • •Experience with SQL for data extraction and manipulation, plus version control with Git.
  • •Experience building interactive data applications or dashboards (e.g., Streamlit or Power BI) and clear communication of analytical results.
Experience:Semiconductor manufacturingIndustrial manufacturingAIMachine learningLLMs
Education:Bachelor's
Skills:CommunicationProblem-solvingContinuous improvementStakeholder collaborationJudgment
Tech Stack:PythonSQLGitStreamlitPower BITableauAWSGoogle Cloud PlatformAzureDockerAngularReactFastAPILLMsRAGMulti-agent systems

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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