Intern - AI / Data Science Engineering
Core
Developing data-driven insights and predictive models for semiconductor manufacturing processes to identify patterns, detect anomalies, and support decision-making.
Role type
Intern, AI / Data Science Engineering
Builds
Analytical models, data workflows, and visualizations for manufacturing process analysis
Domain
Semiconductor manufacturing / Industrial analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Python programming, statistical methods (hypothesis testing, regression), machine learning, SQL, data engineering, anomaly detection
Preferred skills
Electrical and Electronics Engineering, Materials Science, Physics, Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence
Technologies
Python, SQL
Responsibilities
Perform exploratory data analysis on manufacturing datasets, apply statistical methods to evaluate data, develop and evaluate machine learning models, explore anomaly detection methods, design basic data workflows, create data visualizations or dashboards, document approaches and findings
Seniority
Intern
