Row 74781

Row ID: 74781 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 74781 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

No worries, and full disclosure, I am not a hiring manager or anything -- just a dude who's been a data scientist for 5 years because that's what you did in 2019 after getting a pure math PhD if you didn't want to go into academia, haha. (I'll have to look for another job soon myself, my company's not doing well, and I'm a little terrified of the process!) Also, I am in the US, not Canada.

Gut feeling again: an internship is much better than no experience, especially a year-long internship if you were able to produce a couple nice "wins" for your resume while you were there. Honestly, I missed you describing your internship when you wrote your original comment. My bad.

That said, I still wouldn't quite put a year-long internship on par with normal full-time salaried work experience. And even if others would and I'm just being a downer, 1 YOE isn't that much.

SWE experience would be extremely valuable if you want to be a data engineer, and even if you want to be a data scientist, SWE skills are only becoming more and more valuable. I've picked up a lot over the years, like I'm fine containerizing stuff, my code is clean, I can make a little Flask server for people to interact with my model/code with, I'm down with best CI/CD practices etc now... but SWEs and people who have a deeper CS background still run circles around me with some of that stuff. And God forbid you ever try to get me to work on anything front-end, lol.

Even if you publish a paper, I'm not sure how much another Master's will push you over the edge for jobs. While there are definitely people out there with Master's degrees that have cool research jobs, the majority of research jobs are going to want a PhD, preferably with directly related ML research but if not then in one of the usual suspects like math, stats, CS, econometrics. On the other hand, I think SWE experience will move the needle for non-research jobs (the vast majority of jobs) much more than a paper.

Get as many opinions as you can. Both choices could potentially lead to you kicking yourself down the line, and like I said, I'm just some dude, haha, not a career coach or hiring manager. But my vote (please make sure it is not the only vote) is still take the SWE gig.

FieldValue
text No worries, and full disclosure, I am not a hiring manager or anything -- just a dude who's been a data scientist for 5 years because that's what you did in 2019 after getting a pure math PhD if you didn't want to go into academia, haha. (I'll have to look for another job soon myself, my company's not doing well, and I'm a little terrified of the process!) Also, I am in the US, not Canada. Gut feeling again: an internship is much better than no experience, especially a year-long internship if y…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-24
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Raw Record

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  "text": "No worries, and full disclosure, I am not a hiring manager or anything -- just a dude who's been a data scientist for 5 years because that's what you did in 2019 after getting a pure math PhD if you didn't want to go into academia, haha. (I'll have to look for another job soon myself, my company's not doing well, and I'm a little terrified of the process!) Also, I am in the US, not Canada.\n\nGut feeling again: an internship is much better than no experience, especially a year-long internship if you were able to produce a couple nice \"wins\" for your resume while you were there. Honestly, I missed you describing your internship when you wrote your original comment. My bad.\n\nThat said, I still wouldn't quite put a year-long internship on par with normal full-time salaried work experience. And even if others would and I'm just being a downer, 1 YOE isn't that much.\n\nSWE experience would be extremely valuable if you want to be a data engineer, and even if you want to be a data scientist, SWE skills are only becoming more and more valuable. I've picked up a lot over the years, like I'm fine containerizing stuff, my code is clean, I can make a little Flask server for people to interact with my model/code with, I'm down with best CI/CD practices etc now... but SWEs and people who have a deeper CS background still run circles around me with some of that stuff. And God forbid you ever try to get me to work on anything front-end, lol.\n\nEven if you publish a paper, I'm not sure how much another Master's will push you over the edge for jobs. While there are definitely people out there with Master's degrees that have cool research jobs, the majority of research jobs are going to want a PhD, preferably with directly related ML research but if not then in one of the usual suspects like math, stats, CS, econometrics. On the other hand, I think SWE experience will move the needle for non-research jobs (the vast majority of jobs) much more than a paper. \n\nGet as many opinions as you can. Both choices could potentially lead to you kicking yourself down the line, and like I said, I'm just some dude, haha, not a career coach or hiring manager. But my vote (please make sure it is not the only vote) is still take the SWE gig.",
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