Very understandable approach to explaining the differences in these roles. It's definitely appreciated, especially with the blurred lines that companies often use to represent these fields.
I work as a Data Analyst / Engineer / Scientist as is the case with most people working in smaller companies. I don't excel at any of the three areas except maybe engineering because I'm the only one who does it on my team, not because I'm actually good at it. For every insight I find, someone else can find 5 more, for every model I build, someone else will always build a model with better performance. It drives me crazy but it is what it is I suppose. Another thing about working in smaller companies is that solutions are usually frowned upon because of the extra costs. It's annoying to have to write everything from scratch from pipelines to dashboards, but it's also a good learning experience.
didn't expect joma to be this informative
25 hours a day are possible on days where you return from daylight saving time to standard time.
Thanks for sharing such a valuable information on Google Software Engineers and their multifaceted roles as Data Scientist, Research Scientist, ML Engineers, Data Analyst. Brilliant explanation.
Yep, I can confirm as a PhD research scientist that I do in fact have a side kick ML engineer (actually 3) to help me create all my crazy shit.
This video was incredibly helpful in clarifying job titles within the job market, and I no longer feel as though I'm struggling. Great explanation! Thanks !!
Thanks a lot, I'm working as Data Analyst and this content made it clear for me!
No real life difference, bro. Managers barely understand the difference between a programmer and a bartender, so they'll throw you into whatever tech role as long as you can turn a pc on.
Really nice video. I am a current data analyst at a large tech company, hoping to become a ML engineer eventually (similar to a google software engineer whose capable of everything in that chart). Love the content, keep it up.
Companies nowadays prefer a generalist over a specialist who is super expert at one specific field only. This is why developers experience burn outs so often, they have almost no option but to spend a great portion of their time trying out new tech, and whatever they learn will most likely be replaced by "better" resources.
Thank you so much for giving us not only the differences, but also how the market uses the terms. You made everything very clear for me now. Congrats on the video!
great video! thanks for clearing that up and explaining the various elements of so many different roles in this field! very helpful.
Perfect Video explanation // having worked several Oracle Federal Projects as a Software Engineer ....i am moving on to the Next BIG Thing : "DATA Scientist" ...seems its all about Forecasting & Predictive Analytics //
I am a marketing project manager and i was wondering if i could shift my path to data scientist/analyst, and your amazing video made it clear for me, thanks very much
Thanks! Cleared the difference really well!
I like your formal videos much more than fun ones. Thank you.
Thank God for your knowledge! I will keep watching your video and read these job descriptions. Amazing work!
As a software engineer I've been doing all this for 20 years, before the "analyst" position became normalize. My job title on one job was Programmer Data Analyst
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