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
Help 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
Requirements
B.S./M.S. degree or equivalent experience in Data Science, Computer Science, Industrial Engineering or other engineering field
PHD in related subject areas are preferred
At least 3 years 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
Excellent communication skills for explaining models, assumptions, and results to non-technical stakeholders
Proactive problem-solving approach and ownership mindset.