PRINCIPAL DATA SCIENTIST

Micron Technology
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Analytical thinking","Independent work","Quality-focused continuous improvement"]

Partner with semiconductor manufacturing engineering teams to analyze inline, param, and probe data and identify yield detractors. Build data pipelines from SQL databases, sensor networks, and fabrication tool logs, then apply statistical modeling and machine learning to reduce defects. Support DOE experimentation, and communicate insights through automated dashboards and reports to engineering stakeholders.

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Micron Technology
Micron Technology
3 months ago

PRINCIPAL DATA SCIENTIST

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Partner with semiconductor manufacturing engineering teams to analyze inline, param, and probe data and identify yield detractors. Build data pipelines from SQL databases, sensor networks, and fabrication tool logs, then apply statistical modeling and machine learning to reduce defects. Support DOE experimentation, and communicate insights through automated dashboards and reports to engineering stakeholders.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data and drive yield process improvements.
  • •Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support manufacturing operations.
  • •Apply statistical modeling and machine learning to solve yield issues and support defect reduction strategies.
  • •Assist process and integration engineers with DOE experiment design and analysis to enhance process capabilities and margins.
  • •Develop automated reports and dashboards using visualization tools to communicate insights to engineering stakeholders.

Key Requirements

  • •Bachelor’s degree in Computer Science, Data Science, Statistics, AI, or a related engineering field.
  • •Minimum 8 years of hands-on experience in data science, analytics, or scripting applications.
  • •Experience programming with Python and using SQL for data extraction and manipulation.
  • •Familiarity with statistical tools and methodologies such as SPC, DOE, or FDC/EDA for data-driven problem solving.
  • •At least 2 years applying data visualization tools (e.g., Dash, Plotly, Angular) to present complex engineering data clearly.
Experience:8+ yearsSemiconductorElectronics manufacturing
Education:Bachelor's in Computer Science, Data Science, Statistics, AI, or a related Engineering field
Skills:CommunicationCollaborationAnalytical thinkingIndependent workQuality-focused continuous improvement
Tech Stack:PythonSQLDashPlotlyAngularApache HBaseC++API

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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