Intern – Smart Manufacturing and AI Data Science

As a Data Science Intern at Micron Technology, you will apply advanced analytical methods, statistical modeling, and modern machine learning techniques to extract insights and build predictive solutions that drive efficiency, yield improvement, quality enhancement, and cost optimization across semiconductor manufacturing and business operations.

You will work closely with data scientists, engineers, and cross-functional domain experts to define analytical questions, evaluate data readiness, design experiments, and operationalize models. This role offers hands-on experience with real-world datasets and exposure to end-to-end data science workflows, from data acquisition and feature engineering to model development, validation, and deployment.

Responsibilities

• Conduct exploratory data analysis, feature engineering, and model development using modern statistical and machine learning methods.

• Apply techniques across one or more domains such as signal processing, image analytics, time-series analysis, anomaly detection, optimization, and predictive modeling.

• Implement and evaluate machine learning algorithms, including classical ML, deep learning, and generative AI techniques where appropriate.

• Develop software, scripts, and automated workflows to cleanse, integrate, and analyze large-scale datasets from diverse sources.

• Work with structured, semi-structured, and unstructured data, applying data quality, data governance, and reproducibility best practices.

• Collaborate with engineering teams to translate analytical findings into actionable insights and deployable solutions.

• Utilize cloud platforms (GCP, Snowflake, etc.) and modern data engineering pipelines to support scalable model development and experimentation.