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A comment on Employers bow to tech workers in hottest job market since the dot-com era. Parent comment

Re:Employers bow to tech workers in hottest job market since... by lumost on Sunday August 01, 2021 @04:39PM (#28029711)
There could be a couple factors here. The first is that recruiting at most companies prefers to reach out to candidates then the other way around. My suspicion has been that they get inundated with unqualified resumes via direct applications and just don't want to spend the time looking through it. You should try going back through linkedin over the last 6 months and messaging recruiters who did cold outreach or directly ping a recruiter at a company you want to work for.

The other area is that DS means something a bit different at each company you could work for. Some may want SQL experts, others want SWE's with some ML and still others expect 100% modeling all the time. You may get filtered out if you don't have the appropriate buzzwords/skills listed on your resume e.g. AWS, BigQuery, Java, python, Tensorflow etc.

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Re:Employers bow to tech workers in hottest job market since... by monkeybutton on Sunday August 01, 2021 @05:36PM (#28030250)
As someone that was educated in computer science and moved from software engineering to working in the data science world, I find applying to DS positions to be much harder and more painful than CS jobs.

CS is easy: Do you know the languages they want, know some algorithms, are you familiar with the same tools and libraries, how's your experience working with people on big projects?

DS: The field is so broad and so deep, you need know everything and if you don't, be prepared to be shredded. Your interviewer may have a PhD in physics, or a master's in economics, or maybe they're just a math major that did a bootcamp course. Do you know NLP and how to build a pipeline? I feel like I get whiplash when I look at DS job postings they're so all over the place.

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Re:Employers bow to tech workers in hottest job market since... by nerdponx on Sunday August 01, 2021 @11:01PM (#28032446)
The interviews and take-home tasks are all over the place as well. Some of them are pretty reasonable machine learning take-home tasks, but others range from Leetcode stuff to ridiculous 30-hour projects.
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Re:Employers bow to tech workers in hottest job market since... by monkeybutton on Sunday August 01, 2021 @11:33PM (#28032615)
Even the potential audience of your work is all over the place. As a software engineer: your audience is the software's users. As a data scientist: Its the software's users, its the developers, its accountants in the finance department, its other researchers at a conference, its the general audience reading the corporate blog, its the marketing department, its whatever C-level executive looking at report. All of whom have vastly different needs and expectations.
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