Employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data
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
Develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources
Perform exploratory and new solution development activities

B.S./M.S. degree or equivalent experience in Data Science, Computer Science, Industrial Engineering or other engineering fields
PHD in related subject areas are preferred
Experience in 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
Experience working in Google cloud platform or other big data platform is a plus
Strong skills to quickly build prototype solutions based on business requirements, experience deploying data science solution into production environments
Excellent communication skills for explaining models, assumptions, and results to non-technical stakeholders
Proactive problem-solving approach and ownership mindset
Passion and interest to learn semiconductor manufacturing to deal with terabytes and petabytes of data to solve memory wafer related problems

Data Scientist – Smart Manufacturing, AI

Key skills