Data Scientist - Semiconductor Yield & Analytics

Micron Technology; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Micron Technology, Inc. Singapore invites applications for a data science and analytics role focused on semiconductor yield, data pipelines, and advanced analytics.

You will collaborate with manufacturing engineers to improve process capabilities, analyze DOE results, and communicate insights through dashboards and reports. The role requires strong Python and SQL skills, familiarity with data visualization tools, and a willingness to learn semiconductor manufacturing concepts while contributing

Qualifications

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

Responsibilities

• Yield and process optimization with engineering teams to identify detractors and drive improvements.
• Data pipeline work: extract, cleanse, and analyze datasets from SQL databases and logs.
• Apply data science and ML techniques to solve yield issues and defect reduction.
• Assist with DOE experiments to enhance process capabilities and margins.
• Create automated reports and dashboards to communicate results to stakeholders.

Skills

Python

SQL

Communication

Data analysis

Problem-solving

Education

Bachelor's degree in CS/Analytics/Engineering

Tools

Dash

Plotly

Angular

Job description

Micron Technology, Inc. Singapore invites applications for a data science and analytics role focused on semiconductor yield, data pipelines, and advanced analytics.

You will collaborate with manufacturing engineers to improve process capabilities, analyze DOE results, and communicate insights through dashboards and reports. The role requires strong Python and SQL skills, familiarity with data visualization tools, and a willingness to learn semiconductor manufacturing concepts while contributing