Semiconductor Data Scientist — Yield & Insights

Micron Technology, Inc; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Micron Technology, Inc is seeking a Data Scientist in Singapore to enhance manufacturing processes through data analysis. You will collaborate with engineering teams and leverage statistical modeling and machine learning to resolve yield issues while developing automated reports to communicate outcomes effectively.

Qualified candidates should hold a Bachelor’s degree in a relevant field, have strong skills in Python and SQL, and a willingness to learn semiconductor principles. This role offers a chance to innovate in an exciting industry.

Qualifications

• Hands-on experience in data science, analytics, or scripting applications.
• Willingness to learn semiconductor manufacturing principles.
• Ability to communicate technical concepts effectively.

Responsibilities

• Collaborate with teams to analyze manufacturing data.
• Extract, cleanse, and analyze datasets for operations.
• Apply statistical modeling and machine learning techniques.
• Assist engineers in running and analyzing experiments.
• Develop automated reports and dashboards for stakeholders.

Skills

Python programming

SQL for data extraction

Statistical tools (SPC, DOE)

Data visualization tools (Dash, Plotly, Angular)

Education

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

Tools

Statistical Analysis software

Data visualization software

Job description

Micron Technology, Inc is seeking a Data Scientist in Singapore to enhance manufacturing processes through data analysis. You will collaborate with engineering teams and leverage statistical modeling and machine learning to resolve yield issues while developing automated reports to communicate outcomes effectively.

Qualified candidates should hold a Bachelor’s degree in a relevant field, have strong skills in Python and SQL, and a willingness to learn semiconductor principles. This role offers a chance to innovate in an exciting industry.