Lead Data Science & Analytics Manager (Semiconductor)

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Micron Technology, Inc. is seeking a senior analytics leader in Singapore to drive data-driven yield improvements and process optimization across global teams. You will oversee data pipelines, apply advanced modeling, and support DOE-based experiments to improve process margins.

The role requires a strong background in Python, SQL, cloud platforms, and semiconductor knowledge, with a proven track record leading cross-functional data programs and delivering high-quality releases.

Qualifications

• Masters in CS or Electronics Engineering.
• 12+ years total with 2–3 years leading global Analytics/Data Science teams.
• Semiconductor industry experience required; understanding fabrication processes and device physics.

Responsibilities

• Lead and develop global engineering and analytics teams across multiple levels.
• Collaborate with manufacturing engineering for yield detractor analysis and continuous improvement.
• Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and tool logs.
• Apply data science techniques and statistical modeling to troubleshoot yield issues and reduce defects.
• Assist DOE design and analysis to enhance process capabilities and margins.
• Develop automated reports and dashboards to communicate results to engineering stakeholders.
• Manage multi-stream delivery with prioritization, risk transparency, and alignment.

Skills

Python programming

SQL data extraction

Cloud platforms

Data visualization

DOE/experimental design

Cross-functional leadership

Mentoring teams

Memory architecture knowledge

Education

Masters in Computer Science or Electronics Engineering

Tools

Github

JIRA

Snowflake

Dash/Plotly

Job description

Micron Technology, Inc. is seeking a senior analytics leader in Singapore to drive data-driven yield improvements and process optimization across global teams. You will oversee data pipelines, apply advanced modeling, and support DOE-based experiments to improve process margins.

The role requires a strong background in Python, SQL, cloud platforms, and semiconductor knowledge, with a proven track record leading cross-functional data programs and delivering high-quality releases.