About the role
Intern – Data Analysis & Pattern Recognition AI / Data Science role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
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Key Responsibilities
- Role Overview As an AI / Data Science Intern, you will apply data analytics, machine learning, and statistical modeling to uncover actionable insights from large-scale semiconductor manufacturing and process datasets.
- Focus on identifying data patterns, detecting anomalies, building predictive models, and translating findings into clear recommendations that drive better decision-making across the semiconductor technology development lifecycle.
- Key Responsibilities Perform exploratory data analysis on large datasets to uncover patterns, trends, correlations, and anomalies relevant to semiconductor process and manufacturing data.
- Develop data pipelines for data extraction, cleaning, and feature engineering.
- Collaborate with cross-functional teams including process engineering, manufacturing, and data science partners to scope projects and deliver actionable recommendations.
Requirements
- Work independently with a high level of self‑motivation, time management, and prioritization skills.
- Education and Experience Currently pursuing a Bachelor's, Master's, or PhD in Electrical Engineering, Materials Science, Physics, Data Science, Computer Science, Statistics, Mathematics, AI, or a related field, and available for a semester-long internship.
- Exposure to or coursework in semiconductor physics, device fabrication, or manufacturing processes is preferred.
- Demonstrated proficiency in Python and SQL for data analysis.
- Experience with data visualization tools (e.g., Tableau, Power BI, Streamlit) is a plus.
- Familiarity with machine learning and statistical modeling to extract insights from complex datasets is a strong plus.