Intern – Data Analysis & Pattern Recognition AI / Data Science
Core
Apply data analytics, machine learning, and statistical modeling to uncover actionable insights from large-scale semiconductor manufacturing and process datasets.
Role type
Intern, Data Science & AI (Pattern Recognition)
Builds
Predictive models, data pipelines, and visualizations for semiconductor process optimization
Domain
Semiconductor manufacturing and process engineering
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, exploratory data analysis, machine learning (classification, regression, clustering, time-series), statistical analysis (hypothesis testing, regression, A/B testing), anomaly detection, feature engineering, data visualization
Preferred skills
Semiconductor physics/device fabrication knowledge, Tableau/Power BI/Streamlit, cloud platforms (Azure/AWS/GCP), big data tools (Spark/BigQuery)
Technologies
Python, SQL, Tableau, Power BI, Streamlit, Azure, AWS, GCP, Spark, BigQuery
Responsibilities
Perform exploratory data analysis on large datasets to uncover patterns, trends, correlations, and anomalies; Build and evaluate machine learning models for predictive analytics and pattern discovery; Conduct statistical analysis including hypothesis testing, regression analysis, and A/B testing evaluation; Apply anomaly detection techniques to identify deviations and emerging trends in process, inline, and electrical datasets; Create visualizations and dashboards to communicate insights to technical and non-technical audiences; Develop data pipelines for data extraction, cleaning, and feature engineering
Seniority
Intern
