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What is the hardest part of the data science job search?

When I ask job-seekers what their biggest obstacle is to finding a job in data science and analytics, one of the most frequent answers is performing during the interview. Some of them are stumped by technical interviews (coding) while even more are worried about the case interviews. The purpose of the case interview is to test critical thinking. It is as challenging for the job candidate as for the hiring manager! Technical questions have pretty standard answers, and it's easy to score the answers. Case interviews are like essays - the hiring manager has to make judgment calls. My piece on critical thinking is featured at the KDNuggets blog, which I've followed since I was an analyst. In this first part, I explain the two aspects of critical thinking that the case interviewer is typically looking for. There will be a part 2 in which I provide some practice examples.   P.S. [5/1/2019] This piece from TED is relevant.  

from Big Data, Plainly Spoken (aka Numbers Rule Your World) http://bit.ly/2WhP0QI
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