Intern - ADTS ATI PI
Core
Develop data analytics and detection models for early identification of cell metric drift using large-scale semiconductor manufacturing test and measurement data.
Role type
Engineering intern (data analytics & statistical modeling)
Builds
Dashboards, visualizations, and drift-detection methodologies for semiconductor 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 workflows
Responsibilities
Analyze correlations among inline, probe, cell metric, and quality data; Apply statistical analysis and detection-modelling techniques to identify trends; Develop dashboards and visualizations to communicate insights; Document cell metric monitoring methodology and present final technical report.
Seniority
Intern
