作者:
jillyun (姜姜)
2017-07-31 13:36:44本人同意並願意遵守現行法律、本站使用者條款、本站各級規定、本板所有規範,
本人願意為本文內容負責,並保証本文內容皆詳盡屬實,若違反相關規範,願受處分。
代PO,原job description為英文,故會在部分敘述附上原文
★《工作期間》
對象:大三以上
工作日期:長期(10-12 months)
排班方式:平日,時段可面議
每日工作時間:每週約10-20小時
每日休息時間:面議
休息有無計薪供餐:無
★《工作待遇》
平常日工資:$133/hr
國定假日工資:若有則依勞基法規定
延長工時工資:若有則依勞基法規定
勞健保、勞退:依法規定投保、提撥
工資發放日:每月最後一天發放
公司福利:公司提供零食,下午茶及部門聚餐
★《工作內容》
工作地點︰台北市大安區仁愛路三段141號6樓
勞務內容︰資料分析、撰寫英文分析報告,以統計、數學、心理科系為佳
(以下為原文)
Data Scientists extract knowledge or insights from structured or unstructured
data. They draw upon the practice of data analysis, using predictive analytics,
data mining, pattern recognition, data modeling, machine learning and various
statistical methods to solve large scale optimization problems and to
understand the meaning behind vast data sets.
Responsibilities:
- You will implement and validate predictive models and create and maintain
statistical models with a focus on big data
- You’ll communicate with internal and external clients to understand
business needs and provide analytical solutions.
- You will use statistical concepts such as regression, time series, mixed
model, Bayesian methods, clustering, etc., to analyze data and provide
insights.
- You’ll work in an Agile, collaborative environment, partnering with other
scientists, engineers, and database administrators of all backgrounds and
disciplines to bring analytical rigor and statistical methods to the
challenges of predicting behaviors.
Required experience and skills:
- Understanding of machine learning techniques and algorithms, such as k-NN,
Naive Bayes, SVM, Decision Forests, etc.
- Experience with common data science toolkits, such as R, Weka, NumPy,
MatLab, etc. Excellence in at least one of these is highly desirable
- Great communication skills
- Experience with data visualisation tools, such as D3.js, GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Good applied statistics skills, such as distributions, statistical testing,
regression, etc.
- Data-oriented personality
★《事業登記資料》
單位名稱:易智能股份有限公司台灣分公司(AMPOS)
單位地址:台北市大安區仁愛路三段141號6樓
公司統編:24791361
★《聯絡資訊》
聯絡人姓氏稱謂︰Sean
聯絡方式︰請將履歷表寄至[email protected]/*