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Data Scientist/SR Data Scientist, Smart MFG & AI Innovation

Updated about 2 months ago

Job Description

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will 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. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.


Responsibilities include, but not limited to:
• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn
• Machine learning and other advanced analytical method
• Familiar CNN, RNN, GAN, etc.
• Fluency in Python and Machine learning, Deep learning.
• GCP, snowfalke, SQL Server or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• Javascript, Tableau, Power BI,
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

• B.S. in Mathematics, Computer Science, Data Science and Physics.
• M.S. or Ph.D. with specialization in Data analytics, mathematics, Physics, Statistics, computer science.

• 2+ years to data science and machine learning.

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No requirement for relevant working experience
900K ~ 1.8M TWD / year
Partial Remote Work
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About us

台灣美光是美商美光科技(Micron Technology, Inc.)在台子公司,美光科技成立於1978年,是全球前三大記憶體製造商,總部設立於美國愛達荷州波伊西市(Boise),並分別於美國、台灣、日本、新加坡、中國、歐洲等地設有研發設計或製造據點;全球員工超過3萬人。






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