Unfortunately there is very little here that isn't just general interview advice.<p>As a new grad that went through the hunt very recently - it was a messy process. Very few places will consider you without extensive experience, or a masters/Ph.D. Of course if you're hiring people to research machine learning algorithms that's justifiable, but plenty of the responsibilities people associate with data scientists don't require advanced degrees.<p>And the number of posts asking for 5, 7, even 10 years of experience... absolutely astounding.<p>As someone uninterested in going back to school, I've resigned myself to getting some work experience and doing personal projects for 1-2 yrs before trying again.
So I've been interviewing for data analyst/science positions since leaving Apple in April.<p>I may do a postmortem on my search later, but speaking from my experience with many, many interviews over the past couple months, the TL;DR is that the conventional interview wisdom on Hacker News/the cscareerquestions subreddit/this article is <i>wrong and out of date</i>. Interviews for such positions require a different set of skills than just reading Cracking the Code Interview (and ones that you <i>can't get at a data bootcamp</i>).
Analyzing the Analyzers, free eBook. Assuming the student is sharp on technical skills, this look at the human side could be helpful to prepare.
<a href="https://www.amazon.com/Analyzing-Analyzers-Introspective-Survey-Scientists-ebook/dp/B00DBHTE56" rel="nofollow">https://www.amazon.com/Analyzing-Analyzers-Introspective-Sur...</a>
How many data scientist jobs are actually out there? I can understand data scientist being a position at one of the big 5 tech companies, but are they really in demand elsewhere?<p>I've never actually met someone off the internet who calls themselves a data scientist.
The thing is : Data Science requires ... "scientific" rigor and thought process. A lot of people who hire often forget that science is integral to data science: it's right there in the name.