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台北 02-2912-6104 轉 2
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廠商求才專線
台北 02-2912-6104
   02-7703-3104
台中 04-3700-6104
上海 86-21-50277104 轉 1
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軟體類--Data Scientist Engineer (中科)

  • 全職

【邀請您將104履歷同步上傳至華邦官方網站,將使您的履歷優先被主管看見】投遞網址:https://bit.ly/3wxdUOV
As the data scientist, you'll join the AI/Big Data Analytics program/projects related to FDC (Fault Detection and Classification)、Process Measurement data, etc., to build the model or algorithm for driving business value from data insights.
Perform new strategies or solution in run-to-run process control, fault detection and classification, predictive analytics (Prognostic and Health Management, etc), and virtual metrology enable improvements in yield, quality, and manufacturing efficiency.


1. Design, implement and build high quality machine learning prediction models/systems for various business applications.
2. Machine Learning and predictive analytics projects include feature engineering, model building, algorithm development.
3. Processing, cleansing, and verifying the integrity of data used for analysis.
4. Build high quality machine learning prediction models/systems for various business applications.
5. Advanced ability to perform Exploratory Data Analysis and knowledge of statistics.
6. Ability to visualize data in the most effective way possible for a given summary.

工作條件

  • 工作經歷: 不拘
  • 學歷要求: 碩士
  • 語文條件: 英文 -- 聽 /中等、說 /中等、讀 /中等、寫 /中等
  • 其它條件: 1. Experience with Machine Learning, Statistical Modeling, model/algorithm building of the practical application.
    2. Familiar with programming languages like Python, R or SQL.
    3. Familiar with git and related development flow (eg. gitflow, CI/CD) is required.
    4. Experience on database (Oracle, MS SQL, impala, etc) for data acquisition.
    5. Experience on constructing http API with Python on Django framework.
    6. Experience on Angular/Devops/MLops.
    7. Master's degree in Computer Science/Engineering

福利制度

其他福利

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擁有健全的福利制度及利潤共享的員工分紅制度、庫藏股認購權利、員工認股權憑證發行、多元的現金激勵制度,每位員工更享有周全的醫療保險(勞、健、團保),以及透過完善的內外部訓練,輔導員工做生涯規劃培養人才。

更新日期:2022-01-27

應徵方式

  • 職務聯絡人: 招募任用部
  • 聯絡E-Mail: 未填寫 我要應徵
  • 洽: 不接受電洽
  • 洽: 不接受親洽
  • 它: 【邀請您將104履歷同步上傳至華邦官方網站,將使您的履歷優先被主管看見】投遞網址:https://bit.ly/3wxdUOV

應徵分析

兩週內0-5人應徵
經歷分佈
新鮮人0%
1~3年20%
3~5年20%
5~10年40%
10年以上20%
學歷分佈
碩士及以上100%
大學0%
專科0%
高中0%
高中以下0%
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