How hard was it to get your first CS job with non-CS background? Once you had your first job, did it really matter after that? From my understanding: 1. Product Manager needs an MBA to grow and switch jobs. An PM with an MBA degree will be preferred over a PM with no MBA (even for experienced hires). 2. Similarly, data scientist needs a quant PhD to grow and switch jobs. A DS with a PhD will be preferred over a DS with no PhD (even for experienced hires). Is that true for swe too? Those who are swe from non CS background, do you feel disadvantaged by any means - getting interview calls, bias, low-ball, unable to perform well, visa issues?
Bio major here. Hell yeah it was hard. I had to accept a low-ball offer for my first SW gig. After paying my dues and learning all that I could within a year I jumped companies. After that nobody cares about your major
How much did your TC increase after the jump?
Around 50-60k
Nah. I make super bank for my YoE. I'm just sad I didn't get into programming sooner
What is/was your major?
What made them gave u such a high TC?
By PM - - Product Manager, Program Manager, Project Manager? Be specific please
Product manager. Edited the post, thanks.
math major here, no cs no problem
Math is a god tier major though. CS is a joke compared to a math curriculum IMO.
It is not much of a problem for those who come from rigorous majors like Math or physics. On the other hand, those who come from unskilled/fluffy majors like sociology or gender studies have it a lot more difficult.
Lol nah. I came from a Communication degree. Programming is a lot easier than people make it out to be.
I’m a bio major (bs only) that went from researcher -> preclinical project manager (typically requires PhD) -> generic project manager, in my case experience helped but I guess “you need experience to get experience” still doesn’t help you huh
Sociology/anthropology degree here. I had a nepotism hire in operations/IT helpdesk and then transitioned to a development position after that. From there it hasn't been difficult getting interviews and offers, but I'm not usually going after FAANG positions and the Seattle area market is good. I have some imposter syndrome/confidence issues due to not having a formal background in it.
For a Phd which is better, data scientist or machine learning engineer?
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