Data Science Intern, AI & Time-Series for Semiconductors

Micron Technology, Inc.; Richardson (TX); On-site; USD 30,000 - 48,000; Full time

Job summary

Micron Technology, Inc. in Richardson, TX, invites applications for a Data Science Intern. You will apply time-series analytics, ML, and AI agents to semiconductor manufacturing data to uncover patterns and help engineers make better decisions.

Work with Python, SQL, and visualization tools to build reproducible analytics, dashboards, and reports. You will present findings to engineering partners and contribute to continuous improvement initiatives.

Qualifications

• Pursuing a Bachelor's degree in a quantitative field with expected graduation date between December 2027 and June 2028.
• 0–2 years of relevant experience through coursework, internships, or academic projects.
• Experience with Python for data analysis (Pandas, NumPy) and basic SQL for data extraction.
• Knowledge of statistics, ML fundamentals, hypothesis testing, regression, clustering, PCA, and data analysis methods.
• Experience with AI technologies, LLMs, or AI agents via coursework or projects.

Responsibilities

• Apply statistical and ML techniques (time-series, anomaly detection, clustering) to manufacturing data.
• Develop and evaluate AI agents and LLM-enabled workflows; design prompts and assess model performance.
• Extract, clean, integrate, and analyze data using SQL, Python for engineering investigations.
• Build reproducible analytics, visualizations, dashboards, and reporting for engineering teams.
• Present findings, recommendations, and limitations to engineering partners; support continuous improvement.

Skills

Python data analysis

SQL

Statistics & ML

LLMs / AI agents

Communication

Education

Bachelor's in Data Science/Statistics/CS

Tools

Scikit-learn

XGBoost

SHAP

SciPy

Plotly

R

Job description

Micron Technology, Inc. in Richardson, TX, invites applications for a Data Science Intern. You will apply time-series analytics, ML, and AI agents to semiconductor manufacturing data to uncover patterns and help engineers make better decisions.

Work with Python, SQL, and visualization tools to build reproducible analytics, dashboards, and reports. You will present findings to engineering partners and contribute to continuous improvement initiatives.