Singapore-based Senior Data Science Leader, NAND Manufacturing

Micron Technology, Inc.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Micron Technology, Inc. in Singapore seeks an accomplished Manager, Data Science to lead the next evolution of TD NAND data science and analytics capabilities.

You will direct global analytics teams, apply machine learning, DOE, and data engineering to transform large manufacturing datasets into actionable engineering insights. This role blends semiconductor manufacturing expertise with advanced analytics, working closely with Process Integration, Yield, and cross-functional teams to drive

Qualifications

• Master’s degree in Computer Science, Electronics Engineering, or a related technical discipline.
• 12+ years of overall professional experience, including 2–3 years leading global Analytics and/or Data Science teams.
• Strong hands-on experience within the semiconductor industry.
• Solid understanding of semiconductor fabrication processes, manufacturing equipment, and device physics.
• Programming & Data Engineering: 8+ years of experience with Python and SQL for data extraction, transformation, and analysis.
• Cloud & Data Platforms: Experience with GCP and Snowflake.
• Statistics & Engineering Analytics: 8+ years applying statistical methodologies and data-driven problem solving (SPC, DOE, FDC, EDA).
• Demonstrated ability to translate complex semiconductor manufacturing data into practical insights.

Responsibilities

• Lead and develop global engineering and analytics teams across multiple levels; recruit, mentor, and grow analysts, engineers, and contractors.
• Analyze inline, parametric, and probe data to identify key yield detractors and drive continuous improvement.
• Extract, cleanse, integrate, and analyze large datasets from SQL databases, sensor networks, fabrication equipment, and other sources.
• Apply statistical modeling, machine learning, and data science techniques to identify patterns and support defect reduction strategies.
• Design and analyze DOE experiments to improve process capability, margins, and manufacturing performance.
• Develop automated reports, analytical tools, prototypes, and dashboards (Dash/Plotly/Streamlit) for stakeholders.
• Manage a multi-stream analytics and data engineering portfolio with cross-functional alignment.

Skills

Leadership

Stakeholder management

Cross-functional collaboration

Mentoring

Data storytelling

Education

Master’s degree in Computer Science / Electronics Engineering

Tools

Python

SQL

GCP

Snowflake

Dash

Plotly

Streamlit

GitHub

JIRA

Job description

Micron Technology, Inc. in Singapore seeks an accomplished Manager, Data Science to lead the next evolution of TD NAND data science and analytics capabilities.

You will direct global analytics teams, apply machine learning, DOE, and data engineering to transform large manufacturing datasets into actionable engineering insights. This role blends semiconductor manufacturing expertise with advanced analytics, working closely with Process Integration, Yield, and cross-functional teams to drive