I've been in data science for a few years and my role has evolved over time, from starting off with mostly adhoc analyses and statistical inference to more algorithm/optimization problems and predictive models (but still a lot of inference.) Usually when people ask I either just say statistician or "optimize warehouse efficiency" (my specific domain) since both of those are easier to explain than to try and be 100% accurate lol
It's kinda like being a business controller. No one knows what I do exactly, but it could involve pretty much anything anyone working with data would do.
I got hired as a Data Scientist, but my job involves doing DevOps, Cloud Eng, Web Dev, ML Eng, Test Eng, Data Eng and Software Eng. That isn’t normal, right?
Late to the party but ML Engineer has multiple meanings as well. At some companies, it's the people who train models and do end to end deployment (like most Data Science roles). At more advanced companies or companies with bigger teams who adopt Amazon's naming conventions, they are ML Ops people. Meaning that they set up deployment pipelines, manage development environments, and set up model monitoring but don't train models themselves.
I offer 1 on 1 tutoring for Data Structures and Analytics! Email me at greg.hogg1@outlook.com - first call is free!
Its like that for most professions. It's not like all medical doctors do the same thing or all engineers do the same thing.
Fair point! :)
Not really, this is another level of differentiation.
I've been in data science for a few years and my role has evolved over time, from starting off with mostly adhoc analyses and statistical inference to more algorithm/optimization problems and predictive models (but still a lot of inference.)
Usually when people ask I either just say statistician or "optimize warehouse efficiency" (my specific domain) since both of those are easier to explain than to try and be 100% accurate lol
I love my work as a data scientist and AI expert freelancer ❤❤❤❤❤❤
Hey, can you send me your gig link?
You expand the scope and scale of knowledge for people. Make it sound more badass, man...
It's kinda like being a business controller. No one knows what I do exactly, but it could involve pretty much anything anyone working with data would do.
Yep I definitely don't know what you do haha
I do science with data
Fun job, very marketable in 2023.
Where the jobs at?
@@Chicago_58 India
I got hired as a Data Scientist, but my job involves doing DevOps, Cloud Eng, Web Dev, ML Eng, Test Eng, Data Eng and Software Eng.
That isn’t normal, right?
That's a lot of different stuff lol
@@GregHogg tell me about it, it’s been a rough 3 years.
you got lowballed. getting salary for one position but doing multiple jobs from multiple positions. but if you're happy why not
@@oofie4660 I’m defs not happy, trying to leave.
I’ll take the extra crap on the resume, might be useful.
hi can you please guide me please :(
I just say I work in IT. Problem solved.
This is an alienating reality of dating. It’s he’s to explain what you do without explaining to them 4 years of com sci
What does one DO about this? It's a problem I have...
Np, you dont have to know what im doing 🤗
Ive always seen data scientists to be guys that never learned to program for some reason.
Ouch
@@GregHogg haha nothing personal :D Its just a guy I know is a data scientist, and he cant code any language. And he says they only use SQL at work.
@@AndrewTSq Haha fair!
Mmmmm yea that goes with all tech fields my dude….
True
Awesome
"I work in IT" 😂
No lol nobody knows what a data engineer does either. Ppl just register that as „some smart stuff“ or at the very most „IT stuff“
You kind of sound like Shroud
Yet most you do is clean data
Cringe over generalized shorts, glad i took the time thx
It's not deita ... It's data 😂
From latin data, literally 😂
I didn’t understand a word you said, pipelines ? Uhh ok
that’s on you bruh
Learn English first then
genuine question, whats the difference between data scientist and machine learning engineer?
Usually none. Sometimes data scientists don't do ML. But in my opinion that means an analyst
@@GregHogg thanks!
Late to the party but ML Engineer has multiple meanings as well.
At some companies, it's the people who train models and do end to end deployment (like most Data Science roles).
At more advanced companies or companies with bigger teams who adopt Amazon's naming conventions, they are ML Ops people. Meaning that they set up deployment pipelines, manage development environments, and set up model monitoring but don't train models themselves.