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Boise, ID - ID1, United States of America
Onsite
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.
As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.
You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you'll help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be outstanding opportunities to perform exploratory and new solution development activities.
Responsibilities include, but are not limited to:
Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers in semiconductor production data, suggesting corrective actions to improve yield.
Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality. Extract relevant features from raw data, considering factors like material properties, process parameters, and environmental conditions.
Visualization: Build clear and informative visualizations to communicate findings and insights to stakeholders.
Collaboration: Work closely with engineers and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions
Continuous Improvement: Stay up to date with industry trends, research progress, and new technologies in data science and semiconductor manufacturing
Minimum Qualifications:
B.S./M.S. degree or equivalent experience in Data Science, Computer Science, Industrial Engineering or other engineering field.
3+ years working within data science in engineering or related industry with in-depth knowledge in statistical modeling, machine learning, deep learning. Strong skills in python and at least familiar with 1 machine learning framework (like pyTorch, sklearn etc.).
Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
Strong skills to quickly build prototype solutions based on business requirements, experience deploying data science solution into production environments.
Effective communication skills for explaining models, assumptions, and results to non-technical partners, able to work independently with internal and external partners to drive ideas to resolution.
Proactive problem-solving approach and ownership outlook.
Passion and interest to learn semiconductor manufacturing to resolve terabytes and petabytes of data to solve memory wafer related problems, enjoy working in diverse environment.
Preferred Qualifications:
PhD or equivalent experience in related subject areas are preferred
Experience working in Google cloud platform or other big data platform
Experience with Generative AI solutions including RAG, LLM tuning, and agentic problem solving. Solid experience with RCA (root cause analysis) related algorithms and modeling in solving complex industry problems are preferred.
Good full stack skills to build end-to-end data science application with scalability and robustness
Experience working with Manufacturing Execution Systems (MES), or good knowledge in wafer process and yield analysis
Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position.
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.
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