Data Analytics Intern: Yield Enhancement in Memory

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 17,000 - 26,000; Full time

Job summary

Micron Technology, Inc. in Singapore seeks a diligent intern for Data Analytics for Yield Enhancement in Advanced Memory Manufacturing.

This full-time internship offers structured exposure to yield challenges, guided learning, and practical experience applying data analytics to understand yield behaviour using Python, multivariate analysis, and introductory machine learning. You will work with probe-test data, electrical failure modes, and fab metrics, develop an analytics tool, create

Qualifications

• Pursuing a degree in Electrical Engineering, Materials Science and Engineering, Data Science, Computer Engineering, or a related field.
• Strong interest in applying analytical methods to manufacturing data.
• Familiarity with Python-based data analysis, visualization, or ML concepts is advantageous.
• Willingness to learn new analytical methodologies and communicate technical findings clearly.

Responsibilities

• Develop a Python-based analytical solution for a defined yield-enhancement use case.
• Analyze probe-test data, electrical failure modes, and fabrication-process metrics.
• Apply multivariate data analysis techniques to identify patterns and opportunities for yield improvement.
• Prepare technical reports and visualizations of findings and recommendations.

Skills

Python programming

Data visualization

Machine learning basics

Analytical thinking

Education

Pursuing degree in Electrical Engineering or related analytics discipline

Tools

Python

Pandas

Job description

Micron Technology, Inc. in Singapore seeks a diligent intern for Data Analytics for Yield Enhancement in Advanced Memory Manufacturing.

This full-time internship offers structured exposure to yield challenges, guided learning, and practical experience applying data analytics to understand yield behaviour using Python, multivariate analysis, and introductory machine learning. You will work with probe-test data, electrical failure modes, and fab metrics, develop an analytics tool, create