Photomask Yield Analytics Intern

Micron Technology, Inc; Boise (ID); On-site; USD 30,000 - 48,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

Paid time off

Paid holidays

Job summary

Micron Technology, Inc. seeks a data science intern to analyze manufacturing and yield data, build dashboards, and apply ML methods to improve processes. You will collaborate with Yield Enhancement and Process teams to drive measurable improvements in yield, cycle-time, and reporting automation.

The role emphasizes predictive insights, large dataset analytics, and AI-enabled problem solving to support engineering decisions and operational performance.

Qualifications

• Pursuing a BS, MS, or PhD in a quantitative field related to data science.
• Senior undergraduate or higher by internship start; cannot graduate before Sept 2027.
• Experience with Python, R, SQL, JMP or similar analytics tools.
• Experience with statistical analysis, data modeling, or large dataset analysis.
• Ability to translate analytical results into clear, actionable engineering insights.

Responsibilities

• Analyze manufacturing, process, quality, and yield data to identify trends, anomalies, and improvement opportunities.
• Develop dashboards, visualizations, and automated reports that support operational decision-making
• Apply statistical methods and machine learning to investigate yield loss mechanisms and process variation
• Collaborate with Yield Enhancement, Process Engineering, Process Integration, and Manufacturing teams on process optimization.
• Deliver one end-to-end analytics project with measurable impact through yield improvement, cycle-time reduction, reporting automation, or improved decision support.

Skills

Python

R

SQL

Statistical analysis

Data modeling

Education

BS/MS/PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Industrial Engineering, or related quantitative discipline

Tools

JMP

Tableau

Power BI

Job description

Micron Technology, Inc. seeks a data science intern to analyze manufacturing and yield data, build dashboards, and apply ML methods to improve processes. You will collaborate with Yield Enhancement and Process teams to drive measurable improvements in yield, cycle-time, and reporting automation.

The role emphasizes predictive insights, large dataset analytics, and AI-enabled problem solving to support engineering decisions and operational performance.