Brightscore: How to hire a data analysis Daniel?

The hardest part of hiring is recruiting the latest hot pros, like in 1954, when you were recruiting silicon semiconductor experts, when transistors were not available, or 1996 years of recruiting HTML experts, when SGML experts were either in government or in publishers.

And in the last two years, "data scientists" have become one of the people that many companies have to hire, and for myself, in order to build Bright Score, a business laboratory (Bright Labs) that provides interesting data for the media and the public, I recruit team members including a former nuclear physicist, neurologist, Geologists, astrophysicists, and a mechanical engineer.

They do not have the data analysis work experience, but they spent many hours in research, experiment, analysis, solve real world problems. And the results of their work have withstood the rigorous criticism of peers and successfully published in academic journals, of course, this is my own company to recruit data analysis of the routine, then you should follow what criteria?

First, what is a data analyst?

A Hadoop expert, many hiring managers need such an expert; A kagglers account.

I personally define a data analyst as a candidate who understands programming, system management, unstructured data becomes operational, and data is actually made available. And he has to have enough visualization and communication skills to make people understand what he's doing. Currently found to go to LinkedIn search "Data scientist." is the least effective way, because data science is an emerging field, and you want to find a person with 5 years of experience in data analysis does not exist.

The famous bank robber Willie Sutton once said, "I rob a bank because I know there's money, and if you're looking for a data analyst, you can go to the PhD and postdoctoral institutions in academia, because they may be twice times more likely to Nuri than the average person in order to catch up with the academic changes of the new moon. To prevent the hiring of lazy academics, you can ask them questions and decide whether or not to hire him:

1 "Can you list some of the papers you published as the first author?" ”

We need people who can do long, complex tasks, and it takes a lot of thought to publish a paper that suffers peer criticism, because peers can hide behind an anonymous wall and criticize and accuse you of any flaws.

2) "List Some of the code you wrote to someone else in use?" ”

There's a lot of academic theory, but we need practical theory, the best way to test a code is to see if there are more than two people using it.

3 "List Some of the statistical analysis methods you use in your paper?"

The best way to know the concept of statistics from the basic level is that everyone can list a series of variance analyses in an Excel table, but not the best method, whether the data is trapped or not, and the results are simple and straightforward.

Finally, the analysis superstar found in various periodicals or drafts is more reliable than the liberal academic, the former is cheaper and more knowledgeable.

Via Blog.bright

(Responsible editor: The good of the Legacy)