楼主:
jillyun (姜姜)
2017-07-31 13:36:44本人同意并愿意遵守现行法律、本站使用者条款、本站各级规定、本板所有规范,
本人愿意为本文内容负责,并保証本文内容皆详尽属实,若违反相关规范,愿受处分。
代PO,原job description为英文,故会在部分叙述附上原文
★《工作期间》
对象:大三以上
工作日期:长期(10-12 months)
排班方式:平日,时段可面议
每日工作时间:每周约10-20小时
每日休息时间:面议
休息有无计薪供餐:无
★《工作待遇》
平常日工资:$133/hr
国定假日工资:若有则依劳基法规定
延长工时工资:若有则依劳基法规定
劳健保、劳退:依法规定投保、提拨
工资发放日:每月最后一天发放
公司福利:公司提供零食,下午茶及部门聚餐
★《工作内容》
工作地点︰台北市大安区仁爱路三段141号6楼
劳务内容︰资料分析、撰写英文分析报告,以统计、数学、心理科系为佳
(以下为原文)
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
★《事业登记资料》
单位名称:易智能股份有限公司台湾分公司(AMPOS)
单位地址:台北市大安区仁爱路三段141号6楼
公司统编:24791361
★《联络资讯》
联络人姓氏称谓︰Sean
联络方式︰请将履历表寄至[email protected]/*