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.
Richardson, TX, US
Actively hiring, first seen by us 7 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s 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
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
### 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
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
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$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.
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.
59 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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### 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.
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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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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Richardson, TX, US
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