Intern - HBM Data Scientist
Core
Apply statistical analysis, machine learning, and AI agents to solve semiconductor manufacturing challenges by identifying patterns and developing AI-enabled solutions.
Role type
Intern data scientist (semiconductor manufacturing)
Builds
reproducible analytics, visualizations, dashboards, and reporting solutions
Domain
Semiconductor manufacturing / Industrial analytics
Deliverable
dashboards & analysis
Required skills
Python (Pandas, NumPy), SQL, statistics, machine learning fundamentals, time-series analysis, change-point detection, clustering, dimensionality reduction, LLMs, AI agents, prompt engineering
Preferred skills
forecasting, anomaly detection, RAG, Model Context Protocol (MCP), LangGraph, SHAP, XGBoost, R, JMP, Plotly
Technologies
Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost, SHAP, SciPy, R, JMP, Plotly, LangGraph, MCP
Responsibilities
Apply statistical and machine learning techniques to identify trends and anomalies in manufacturing data; Develop and evaluate AI agents and LLM-enabled workflows; Extract, clean, integrate, and analyze data using SQL and Python; Build reproducible analytics, visualizations, and dashboards; Present technical findings to engineering partners.