Data Scientist

Micron Technology
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Continuous improvement","Sound judgment","Responsible AI use"]

Develop data-driven AI and machine learning solutions for semiconductor smart manufacturing, improving yield, quality, and productivity. Build and productionize predictive models for classification and regression, and help design agentic AI/LLM workflows using RAG pipelines for TSE tasks like automated troubleshooting and process optimization. Create maintainable analytical code and pipelines optimized for high-volume manufacturing, while partnering with senior data scientists and product owners to deploy, monitor, and clearly communicate results.

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FursaFursa
Micron Technology
Micron Technology
2 months 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 for semiconductor smart manufacturing, improving yield, quality, and productivity. Build and productionize predictive models for classification and regression, and help design agentic AI/LLM workflows using RAG pipelines for TSE tasks like automated troubleshooting and process optimization. Create maintainable analytical code and pipelines optimized for high-volume manufacturing, while partnering with senior data scientists and product owners to deploy, monitor, and clearly communicate results.
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) to support predictive and prescriptive analytics across semiconductor test and manufacturing processes.
  • •Contribute to multi-agent AI/LLM system design for TSE workflows, including code generation, automated troubleshooting, and process optimization.
  • •Develop and improve RAG pipelines by identifying data sources, building retrieval strategies, and improving context quality for LLM-based applications.
  • •Create maintainable code and analytical pipelines optimized for high-volume manufacturing environments, with attention to performance, latency, and token efficiency.
  • •Communicate analytical insights and model behavior clearly to technical and non-technical stakeholders, and support 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, with a strong foundation in statistics and/or machine learning (supervised/unsupervised learning, evaluation, feature engineering).
  • •Experience using SQL for data extraction and manipulation.
  • •Experience with version control (Git) and building interactive data applications/dashboards (e.g., Streamlit, Power BI).
  • •Strong communication skills to explain complex analytical results to technical and non-technical stakeholders.
Experience:Industrial manufacturing
Education:Bachelor's
Skills:CommunicationContinuous improvementSound judgmentResponsible AI use
Tech Stack:PythonSQLGitStreamlitPower BITableauLLMsRAGRetrieval-augmented generationAgentic AIMulti-agent systemsFeature engineeringClassificationRegressionTime-series dataETLDockerAngularReactFastAPI

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