数据科学(Data Science)作为一门新兴的学科，很多概念的定义其实没有特别明确。这点跟国内喜欢提的大数据很像。大数据这个概念总让我感觉有点无所适从，因为我实在说不清大数据的明确定义和具体范围。
国外一个做数据服务的网站mango-solutions将从事数据科学工作的人员分成了6个不同的方向，分别为Communicator，Data Wrangler, Modeller, Programmer, Technologist, Visualiser.并做了一个radar test，帮从业人员认识自己的角色(莫名喜感。所以这一行大多数人都不清楚自己的角色?)。
各个类别对应的角色特点后面再补。
记录下自己的测试结果: Communicator.
是个偏传统的数据分析，主要给领导解读数据结果的角色。
All great data scientists are master communicators.
After all, data doesn't sell itself; it needs a communicator to guide the way.
You are able to lead key business decision makers into an ongoing conversation with data, rather than carrying out ad hoc analyses.
You have a natural ability to communicate complex technical details to non-technical audiences
You also have an understanding of the wider implications of the project, and so convey the key analysis insights to influence new business directions.
As a communicator you also understand that communication is a two-fold process: explain well, listen well.
You listen for business challenges, define requirements and clarify how data analysis can help.
Even on projects using highly technical software and mathematical methods, you are able to speak a language that each of your stakeholders understands!