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Open nowPosted today

Manager, Data Science, SMAI

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.

Pay
SGD 10,000 – SGD 18,000 a Monthly
Where
North, Singapore
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Your applicationOpen nowManager, Data Science, SMAIMICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. · North, Singapore

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.'s own form.

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted today

The posting

What You’ll Do

  • Team Leadership & Talent Development: Lead and develop global engineering and analytics teams across multiple levels. Recruit, mentor, and grow analysts, engineers, and contractors into high–performing contributors. Foster a culture of technical excellence, collaboration, and continuous improvement.
  • Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement.
  • Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations.
  • Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to troubleshoot yield issues and support defect reduction strategies.
  • Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins.
  • Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, streamlit) to communicate technical concepts and project outcomes effectively to engineering stakeholders.
  • Cross–Functional Execution & Governance: Manage a multi–stream delivery portfolio with predictable, high–quality releases. Partner with Yield, LPD, Cost, IET, Planning leaders to maintain prioritization, risk transparency, and dependency alignment.

What You Bring:

Minimum Required Qualifications/Experience

  • Masters in Computer Science, Electronics Engineering
  • Prior experience in the semiconductor industry is must. Understanding of semiconductor fabrication processes, equipment, and device physics is must.
  • Minimum 12+ years overall experience with at least 2-3 years' experience in leading global Analytics and/or Data Science teams.

Must have Technical Skills

  • Programming & Data Engineering: Minimum 8 years of experience in Python programming skills and experience with SQL for data extraction and manipulation. Cloud & Data Platforms: GCP Suite, Snowflake
  • Statistical Analysis: Minimum 8 years of expertise in role which is with statistical tools, methodologies (such as SPC, DOE, or FDC/EDA), and data-driven problem solving.

Highly Desirable/Preferred skills or experience

  • Data Visualization: At least 8 years of working experience utilizing data visualization tools (e.g., Dash, Plotly, Angular) to present complex engineering data clearly.
  • Engineering & Delivery: Experience in Github, JIRA will be plus.
  • Expertise in Code Gen tools: Code Assist, Open Code, Roo Code, Github copilot will be important.
  • Proven success delivering multi–stream, cross–functional data engineering programs.
  • Experience with AI–driven engineering acceleration and modern data–stack standardization.
  • Strong track record improving data quality, release predictability, and platform performance.
  • Ability to mentor technical talent and influence architectural direction.
  • Excellent stakeholder engagement and cross–functional communication skills.
  • Knowledge of memory architecture (NAND) is added advantage.

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