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

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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.

Requirements

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

Education:
• 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.

Experience:
• 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。

台灣美光跨足半導體後段封測領域,以領先之姿,帶領亞洲半導體產業持續向上,讓世界供應鏈持續向台灣匯聚能量。台灣美光升級為集合晶圓製造、封裝測試於一體,並有研發團隊進駐的DRAM卓越製造中心。

我們提供高度多樣化的產品陣容,並與客戶密切合作,幫助他們開發整個記憶體系統。事實上,您也許每天都在使用我們的記憶體-在電腦、網路和伺服器應用中,在移動、嵌入式、消費者、汽車和工業設計中。

作為世界上最豐富的專利持有者之一,我們不斷反思、重鑄和精進新思路,給更廣泛的市場帶來革新並找出方法,使我們的技術能夠激發新的應用或對現有設計做出根本改進。

記憶體是我們的根基,是我們商業的核心競爭力。當我們展望未來時,將同時持續透過我們的核心記憶體業務和推動產品多樣化及技術來驅動創新與擴展新市場,以鞏固過去取得的成就。


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