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Micron Technology, Inc is seeking a Senior Data Science & Product Yield Analytics Engineer to join their Product Yield & Analytics team in Boise, Idaho. This role focuses on applying data science techniques to semiconductor manufacturing, emphasizing advanced analytics for defect analysis and yield improvement.
You will develop predictive models, support product development, and collaborate with global teams. Required qualifications include a degree in a related technical field and proficiency in programming and data science techniques.
Micron values diversity and is an equal opportunity employer.
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.
We are seeking a highly motivated Senior Data Science & Product Yield Analytics Engineer to join the Product Yield & Analytics (PYA) organization. This role focuses on applying data science, software engineering, and advanced analytics to semiconductor manufacturing data, with a strong emphasis on Improved Software for Defect Analysis (ESDA) and Electrical Failure Analysis bench testing systems used companywide.
In this position, you will employ techniques drawn from statistics, machine learning, semiconductor physics, and large-scale data engineering to uncover patterns, build predictive models, and develop actionable insights that drive yield, quality, and reliability improvements across Micron’s memory products.
You will work closely with Data Scientists, Data Engineers, Product Engineers, Build teams, Yield Enhancement, RDA, Failure Analysis, and IT teams across global sites to develop and expand ESDA capabilities and analytics platforms that directly support manufacturing and product development.
Job Profile(s): Product Development Engineer 3 - Product Development Engineer 4
Relocation Level: TBD
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.