Data Scientist: Semiconductor Analytics & Yield Insights

Micron; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Micron invites a Data Scientist to drive patterns and predictive models for advanced semiconductor manufacturing. You will cleanse, integrate, and evaluate large datasets from inline, param, and probe sources to improve yield and process capability.

The role requires strong Python and SQL skills, experience with Dash/Plotly/Angular for dashboards, and collaboration with Process Integration and Process Engineering teams. Applicants with 2+ years in data science are encouraged to apply.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, AI, or related Engineering field.
• Minimum 2 years of hands-on experience in data science, analytics, or scripting applications.
• Willingness to learn semiconductor manufacturing principles and collaborate with engineers.

Responsibilities

• Yield & Process Optimization: analyze inline/param/probe data to identify top yield detractors and drive improvement.
• Data Pipeline & Automation: extract, cleanse, and analyze datasets from SQL databases, sensor networks, and logs.
• Advanced Analytics & Modeling: apply data science techniques and ML to solve yield issues and support defect reduction.
• Experimentation Support: assist engineers in running and analyzing DOE to enhance process capabilities and margins.
• Visualization & Communication: develop automated reports and dashboards to communicate results to engineering stakeholders.
• Integrates AI-enabled tools to improve efficiency and comply with standards.

Skills

Python

Statistics

DOE

FDC/EDA

Machine Learning

Education

Bachelor's degree in Computer Science, Data Science, Statistics, AI, or related Engineering field

Tools

SQL

Dash

Plotly

Angular

Job description

Micron invites a Data Scientist to drive patterns and predictive models for advanced semiconductor manufacturing. You will cleanse, integrate, and evaluate large datasets from inline, param, and probe sources to improve yield and process capability.

The role requires strong Python and SQL skills, experience with Dash/Plotly/Angular for dashboards, and collaboration with Process Integration and Process Engineering teams. Applicants with 2+ years in data science are encouraged to apply.