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There aren’t any people over the age of like 35 who started their career in data science. Careers are sticky, people don’t like switching once they’re in one. T
by colinmhayes 4y ago
There aren’t any people over the age of like 35 who started their career in data science. Careers are sticky, people don’t like switching once they’re in one. They’re being trained quickly and I think you’re right, the salary used to be higher than a normal software dev but that doesn’t seem to be the case anymore.
- runnerup 4y agoMore like no one hires you into a new career after 35. I’m 34 now and it was hell getting into software engineering from chemical engineering even with good project experience and acing leetcode.
- visarga 4y agoI switched from full stack to ML at 38. I was preparing for a few years by doing courses, personal projects and following new papers as they come up. When I got hired there was no issue with the fact that I was self trained - they have been interviewing for 6 months and failing every candidate by then. Soon after I got hired I was myself part of the interviewing committee and saw the hiring situation first hand - most candidates can't program their way out of a shoe or explain how the most commonly used neural net layers work. I mean, I had one who couldn't open a TXT file in 30 minutes, the data file he was supposed to use in the problem.
- mint2 4y agoSame, I miss Cheme and actually doing work on physical systems. But applied DS is more lucrative and so much more flexible in work location. DS is way easier although the stats and programming does throw many people off