About The Position

Micron Technology is seeking a highly motivated Senior Data Science & Product Yield Analytics Engineer to join the Product Yield & Analytic (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.

Requirements

  • BS or MS in Electrical Engineering, Computer Engineering, Data Science, Software Development, or a related technical field.
  • Proficiency in at least one programming language and familiarity with machine learning and data science techniques.
  • Familiarity with Microns Improved Software for Defect Analysis (ESDA) system

Nice To Haves

  • Experience with memory products in product engineering, test, build, yield improvement, software development, or data science.
  • Strong analytical and problem-solving skills applied to sophisticated manufacturing data.
  • Ability to communicate complex technical concepts effectively across global, multi-functional teams.

Responsibilities

  • Expand and enhance ESDA capabilities to improve yield, quality, and product reliability.
  • Develop yield, defect matching, and modeling methods to accelerate manufacturing feedback to RDA and YE teams.
  • Create and maintain engineering software tools for ESDA analytics and product line monitoring.
  • Collaborate with design, failure analysis, and product teams to optimize redundancy, compression, and defect analysis methodologies.
  • Support next-generation memory devices through advanced analytics and data-driven insights.
  • Using AI in applicable job functions

Benefits

  • Choice of medical, dental and vision plans
  • Benefit programs that help protect your income if you are unable to work due to illness or injury
  • Paid family leave
  • Robust paid time-off program
  • Paid holidays
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