About the role
AI summarisedJoin Micron as an AI/Data Science Intern to apply machine learning, statistical modeling, and data analytics to large-scale semiconductor manufacturing datasets, driving technology development through pattern recognition and predictive modeling.
IDMOnsiteSTPG
Key Responsibilities
- Perform exploratory data analysis on large datasets to uncover patterns, trends, and correlations in semiconductor manufacturing data
- Build and evaluate machine learning models including classification, regression, clustering, and time-series for predictive analytics
- 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
- Collaborate with cross-functional teams including process engineering and manufacturing to deliver actionable recommendations
- Deliver a complete intern project package including code, documentation, and presentation-ready summaries
Requirements
- Currently pursuing a Bachelor's, Master's, or PhD in Electrical Engineering, Materials Science, Data Science, Computer Science, or related field
- Available for a semester-long internship
- Demonstrated proficiency in Python and SQL for data analysis
- Familiarity with machine learning and statistical modeling to extract insights from complex datasets
- Exposure to or coursework in semiconductor physics, device fabrication, or manufacturing processes is preferred
- Experience with data visualization tools such as Tableau, Power BI, or Streamlit is preferred
- High level of self-motivation and strong time management skills