Back to jobs

Intern - HBM Data Scientist

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 posting
  • Apply 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
Apply at Micron Technology

Posting record

Report an error

Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 20267 days ago
Recorded sightings
9
Last seen by us
Nov 3, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 7

Similar jobs usually come down between day 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

Micron Technology is hiring

59 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down at a usual pace
  • 2% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • NumPy
  • pandas
  • Plotly
  • scikit-learn
  • SciPy
  • XGBoost
Where the posting names them
### 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.

Your next step

Complete your application on careers.micron.com. The employer’s form will show what is required.

Applying through Eightfold

  • You sign in, with Microsoft, LinkedIn, Google, Facebook or a new account, before the application opens.

Already applied? Track this application

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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. To learn about your right to work click here. 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.
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Richardson, TX, US

Working pattern and location restrictions need checking in the full posting.

Work authorization

This passage needs a closer read in the full description.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.