Manager, Data Science, SMAI

Micron Technology
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 12+ yearsEducation: mastersSkills: ["Stakeholder engagement","Cross-functional communication","Leadership","Technical mentorship","Collaboration"]

Lead and develop global analytics and engineering teams to improve semiconductor manufacturing yield. Extract, cleanse, and analyze data from SQL databases, sensor networks, and fabrication logs to troubleshoot yield issues using statistical modeling and machine learning. Support DOE experimentation, build automated dashboards and reports, and manage a multi-stream delivery portfolio with cross-functional governance across Yield and operations leaders.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Micron Technology
Micron Technology
1 week ago

Manager, Data Science, SMAI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Lead and develop global analytics and engineering teams to improve semiconductor manufacturing yield. Extract, cleanse, and analyze data from SQL databases, sensor networks, and fabrication logs to troubleshoot yield issues using statistical modeling and machine learning. Support DOE experimentation, build automated dashboards and reports, and manage a multi-stream delivery portfolio with cross-functional governance across Yield and operations leaders.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead and develop global engineering and analytics teams, recruiting and mentoring analysts, engineers, and contractors.
  • •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 statistical analysis, statistical modeling, and machine learning to troubleshoot yield issues and support defect reduction strategies.
  • •Manage multi-stream delivery governance and release predictability while partnering with Yield, LPD, Cost, IET, and Planning leaders; develop dashboards and automated reports (Dash/Plotly/streamlit).

Key Requirements

  • •Master’s in Computer Science or Electronics Engineering.
  • •Prior semiconductor industry experience is required, including semiconductor fabrication processes, equipment, and device physics.
  • •12+ years overall experience with 2–3 years leading global analytics and/or data science teams.
  • •8+ years using Python and SQL for data extraction and manipulation.
  • •8+ years applying statistical tools/methodologies (e.g., SPC, DOE, FDC/EDA) for data-driven problem solving.
Experience:12+ yearsSemiconductorAnalyticsData scienceMachine learningData engineeringSmart manufacturing
Education:Master's in Computer Science, Electronics Engineering
Skills:Stakeholder engagementCross-functional communicationLeadershipTechnical mentorshipCollaboration
Tech Stack:PythonSQLGCP SuiteSnowflakeDashPlotlyStreamlitAngularGitHubJIRACode AssistOpen CodeRoo CodeGitHub CopilotSPCDOEFDC/EDANAND

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