Intern - ADTS ATI PI
Core
Develop data analytics and detection models to identify early cell metric drift in semiconductor manufacturing using large-scale test and measurement data.
Role type
Engineering intern (data analytics & statistical modeling)
Builds
Dashboards, visualizations, and documented drift-detection methodologies for manufacturing quality monitoring.
Domain
Semiconductor manufacturing / Industrial data analytics
Deliverable
dashboards & analysis
Required skills
Statistical analysis, data interpretation, problem-solving, data visualization
Preferred skills
Python, R, SQL, Power BI, AI-enabled data analysis workflows
Technologies
Python, R, SQL, Power BI
Responsibilities
Analyze correlations among inline, probe, cell metric, and quality data; apply statistical analysis and detection-modelling techniques to identify trends; develop dashboards to communicate insights; document monitoring methodologies.
Seniority
Intern
