DATA SCIENTIST

Micron Technology
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Collaboration","Analytical problem-solving","Independent work","Quality focus"]

Use data science to improve semiconductor manufacturing yield and process performance by analyzing inline, param, and probe data. Build and automate data pipelines from SQL databases, sensor networks, and fabrication tool logs, then apply statistical modeling and machine learning to reduce defects. Support Design of Experiments (DOE), and create dashboards and automated reports using tools like Dash, Plotly, and Angular to communicate results to engineering stakeholders.

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FursaFursa
Micron Technology
Micron Technology
3 days ago

DATA SCIENTIST

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

Job Summary

Use data science to improve semiconductor manufacturing yield and process performance by analyzing inline, param, and probe data. Build and automate data pipelines from SQL databases, sensor networks, and fabrication tool logs, then apply statistical modeling and machine learning to reduce defects. Support Design of Experiments (DOE), and create dashboards and automated reports using tools like Dash, Plotly, and Angular to communicate results to engineering stakeholders.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data, identify yield detractors, and drive continuous improvement.
  • •Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support manufacturing operations.
  • •Apply data science techniques, statistical modeling, and machine learning to solve yield issues and support defect reduction strategies.
  • •Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins.
  • •Develop automated reports and dashboards using visualization tools to communicate technical concepts and outcomes to engineering stakeholders.

Key Requirements

  • •Bachelor’s degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field.
  • •At least half-a-year working-level hands-on experience in data science, analytics, or scripting applications.
  • •Strong Python skills plus at least half-a-year experience with SQL for data extraction and manipulation.
  • •Familiarity with statistical methodologies such as SPC, DOE, or FDC/EDA for data-driven problem solving.
  • •Experience applying data visualization tools (e.g., Dash, Plotly, Angular) to present complex engineering data clearly.
Experience:Semiconductor industryElectronics manufacturingAIMachine learning
Education:Bachelor's
Skills:CommunicationCollaborationAnalytical problem-solvingIndependent workQuality focus
Tech Stack:PythonSQLDashPlotlyAngularAWSAPIMachine learningAI

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