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. Analyze and extract valuable insights from large datasets related to semiconductor manufacturing, process optimization, and quality control. Collaborate with multifunctional teams to develop innovative solutions that improve product performance, yield, and reliability. Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. 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. Identify anomalies and outliers in semiconductor production data suggesting corrective actions to improve yield. Work closely with engineers, physicists, and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions. Build clear and informative visualizations to communicate findings and insights to collaborators. Stay up to date with industry trends, research advancements, and emerging technologies in data science and semiconductor manufacturing. Employer will accept a Master’s degree in Industrial Engineering, Data Analytics, Data Science, or a related field and 3 years of experience in the job offered or in a related occupation.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees