Intern - HBM Data Scientist
Richardson, TX, US
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingApply time-series, change-point, clustering and dimensionality reduction methods to find manufacturing anomalies
Develop and evaluate AI agents and LLM-enabled workflows
Extract, clean and analyze data with SQL and Python
Build reproducible analytics, dashboards and reports for engineering teams
Present findings, recommendations and limitations to engineering partners
From the employer’s posting
Apply statistical and machine learning techniques, including time-series analysis, change-point detection, clustering, and dimensionality reduction
Develop and evaluate AI agents and LLM-enabled workflows by integrating analysis tools, designing prompts
Extract, clean, integrate, and analyze data using SQL, Python, and analytical tools
Build reproducible analytics, visualizations, dashboards, and reporting solutions
Present technical findings, recommendations, and limitations clearly to engineering partners
Education & alternatives
### 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
Tools in this posting
- Python
- SQL
- NumPy
- pandas
- Plotly
- scikit-learn
- SciPy
- XGBoost
Source — Tool mentions in context
### 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
### 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
### 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.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 7
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Richardson, TX, US
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