As above, are Data Scientist treated like 2nd class citizens relative to SWE and Research Scientists at FAANG? Is the TC the same? I have research background but not CS background. From reaching out to my network, it looks like majority of PhD in CS gets research scientist positions and do cool machine/deep learning projects. BS in CS gets SWE positions. PhD in non-CS tend to get data scientist position. I've yet to find anyone who is a Data Scientist who does purely machine/deep learning, some of them don't even use ML. I don't think they are as bad as Excel experts or SQL junkies like those in a BI data analyst role, after all most of the DS I know have a PhD, but I just wonder if there's a caste system in place? DS at FAANG, do you feel like 2nd class at work? Is your TC the same as SWE or RS?
The most glorified clerical job - data scientist - the only good thing is the scientist in the name - it used to be hot so now every college grad is a data scientist - mostly no coding , no production on call , just relax and talk sh@@- mostly theory.
The amount of truth in this hits too close to home for comfort.
@5’7 Indian what the fuck is your problem with data scientists asshole. Not everyone is gonna be a CS graduate..
'As bad as excel experts', 'SQL junkies' ... and then you want to know if there is a class system.
There is a huge difference from ds to ds. You could be partially sde who works with pipelines and big data or statistician with phd or SQL guy trained by udacity...
Also in Microsoft, it is another name for QA or SDET
Whoa til
You should look at the job duties, there's a big variance in the role/impact/tc of people with title data scientist. Since it's a new role compared to swe, there's gonna be hopefully a lot of branching in titles. Like the difference of software engineer or web developer, or infra engineer, etc. I see that the title of people doing cool product driven deep learning or machine learning stuff is more of Applied Scientist, Machine Learning Scientist, Research Engineer, Machine Learning Engineer, Software Engineer in Machine Learning. Some Data Scientists do these too.
Any DS from FAANG would like to share their experience?
Making a big impact on the data projects I work on has been easy compared to the SWEs in my group. The data is everywhere and constantly being updated, creating an almost unlimited amount of opportunity to drive future work and make an impact. Doesn’t sound like everyone else has had the same experience.
I'm data and applied scientist at Microsoft AI and research, if it counts, and among highest paid in my level. My job is combination of research, building ML models and production level engineering.
Could you share more about the team and your daily work? Interested in knowing DS Life at Microsoft. Thanks!
My job is not really DS as the industry standard. I do AI research and hard core ML software Eng. Very different based on the team.
If you don’t code you’re 3rd class and not even citizen
Production coding or research coding?