It would be quite healthy to write (and link to) the counterbalance. Same title, different sub-title: "Preparing your interview process to get the best DS candidates hired"
Because let's be honest, there's as much need for businesses to get good hires than for candidates to get good jobs, if not more. Or how many businesses put as much effort into hiring than candidates into applying? As you said, there are countless articles guiding / pressuring applicants to always do more and the onus is always on them to do the extra mile.
Many require 5-6 rounds of interviews with a half week homework protected by an NDA (ergo with minimal ROI for the candidate) and don't even bother going through the candidate's internet presence (blogs, portfolios etc...).
And I wouldn't bother commenting was this not exasperated in the Data Science field where people are asked to be everything at once: full stack engineers, math and stats wizards, flash thinking code optimizers, TED communicators and do competitive market analysis in their spare time. Heck I have worked with Head of Business Developments that couldn't update Atlassian Confluence's document because it was too technical, let alone write any sort of code.
I would even go a little further and argue that this article is severely biased by your own career path M. Leitner, that of Business Analyst. You could be seen as displaying a clear lack of understanding of the different types of personalities needed to carry out a good Data Science project. And crafting the right interview process for Data Science is hard.
Thankfully the industry is starting to recognize this and create refined titles, so that we'll be able to hire 7 different roles for what's still considered Data Scientist and we'll stop pretending that fresh graduates in the field have to be unicorns to get their first job.
Now to get my own point balanced, I'll admit that the kind of curiosity that will create the need to communicate better and know better who you'll work with and in what context is helpful to integrate well in any social group.