[AICS] Data Scientist 資料科學家

Updated 3 Months agoIT » Data Scientist

Job Description

【Responsibilities】

  • Developing/Maintaining NLP/NER tools and converting unstructured data into structured data.
  • Be responsible for building knowledge-graph platforms using a combination of frameworks and big data processing technologies such as Azure Cloud Platform, Amazon Neptune, or Neo4j.
  • Take ownership of platform components and help set the vision and architecture for it.

Requirements

【Qualifications】

  • Skills with Python, Shell, and SQL as this is a hands-on position writing code.
  • Knowledge in MPP/No SQL databases like Elasticsearch, MongoDB, Redis, and Neo4j in large scale environments.
  • Ability to evaluate, benchmark, and improve the scalability, robustness, efficiency, and performance of big data platforms and applications.
  • Great troubleshooting and problem-solving abilities, along with an ability to collaborate cross-functionally in a fast-paced environment.
  • B.S, M.S, or Ph.D. in Computer Science, Mathematics, Statistics, or equivalent work experience.

【Preferred Qualifications】

  • Strong ability for learning new technologies related to big data processing and data management.
  • Knowledge in machine learning, and feature engineering is a plus.
  • Experience in using open source frameworks to build applications is a plus.
  • Experience in using K8S to build applications is a plus.
5
Regular earnings reach NT$40,000
Partial Remote Work
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Asus 華碩電腦股份有限公司

臺北市北投區立德路15號

About us

身為全球科技領導品牌,華碩致力傳遞無與倫比的體驗,為世人擘劃美好數位生活藍圖。以進化式創新構築明日科技藍圖聞名,並持續以使用者為中心,打造最別出心裁、直覺易用的產品與解決方案。不斷再造進化的華碩深具雄心壯志,開創諸多令人驚艷的電競、創作者、AIoT與雲端計算解決方案,克服用戶痛點並傳遞無所不在的幸福感。

華碩匯聚眾多領先業界的專家,持續以企業家精神與對創新的熱情,耕耘科技領域的未來。擁有近五千名世界級研發菁英,華碩平均每天獲得超過11個獎項,更受美國《財富》雜誌評選為「世界最受推崇企業」之一。

在One ASUS精神引領之下,華碩人齊心追尋無與倫比,落實「再造進化、真實透明、發揮眾智、創意擇優」的企業轉型,我們深知明日的美好歷程始於今天的行動,華碩人致力為產業立定新標竿,具體展現對環境與社會的重要承諾。

在華碩,每個人都可以找到前所未有的機會,突破極限、放膽實現夢想。

瞭解更多關於華碩,歡迎造訪:asus.com/about-asus/.

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