Intern - HBM Data Scientist

About the role

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Department Overview

The Data Science team employs advanced analytics, machine learning, and AI technologies to improve semiconductor manufacturing performance and decision-making. By combining statistical methods, engineering expertise, and AI-enabled solutions, the team transforms complex manufacturing data into actionable insights that drive operational excellence and innovation across Micron.

Position Overview

As a Data Science Intern, you will work at the intersection of statistical analysis, machine learning, and AI agents to solve real-world semiconductor manufacturing challenges. You will apply time-series analytics, change-point detection, machine learning, and large language model (LLM) technologies to identify important patterns in manufacturing data and develop AI-enabled solutions that help engineers make better decisions.

Responsibilities

Apply statistical and machine learning techniques, including time-series analysis, change-point detection, clustering, and dimensionality reduction, to identify trends and anomalies in semiconductor manufacturing data.

Develop and evaluate AI agents and LLM-enabled workflows by integrating analysis tools, designing prompts, and assessing model performance against known outcomes.

Extract, clean, integrate, and analyze data using SQL, Python, and analytical tools to support engineering investigations and decision-making.

Build reproducible analytics, visualizations, dashboards, and reporting solutions that provide actionable insights to engineering teams.

Present technical findings, recommendations, and limitations clearly to engineering partners while supporting continuous improvement initiatives.

Minimum Qualifications

0-2 years of relevant experience through coursework, research, internships, academic projects, hackathons, or data science competitions.

Currently pursuing a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Electrical Engineering, Computer Engineering, or a related quantitative field, with an expected graduation date between December 2027 and June 2028.

Experience with Python for data analysis, including libraries such as Pandas, NumPy, or similar tools, and basic SQL for data extraction and preparation.

Knowledge of statistics, machine learning fundamentals, hypothesis testing, regression, clustering, PCA, and data analysis methodologies gained through coursework or projects.

Experience using AI technologies, large language models (LLMs), AI agents, or generative AI platforms through academic, personal, or project-based work, along with strong analytical, communication, and collaboration skills.

Preferred Qualifications

Experience with time-series analysis, forecasting, anomaly detection, change-point detection, or statistical modeling techniques.

Familiarity with LLM agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), LangGraph, prompt engineering, or AI workflow orchestration frameworks.

Experience evaluating AI model performance, validating outputs, mitigating hallucinations, or developing AI-assisted applications and workflows.

Proficiency with data science and machine learning tools such as Scikit-learn, XGBoost, SHAP, SciPy, R, JMP, Plotly, or similar platforms.

Experience applying analytics, machine learning, or AI technologies to manufacturing, engineering, scientific research, or other real-world datasets, with an interest in semiconductor manufacturing and industrial analytics.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.