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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
Got messaged by a C3 . ai recruiter. Read that wlb is bad and that the interview process is absurdly long, but the Glassdoor reviews are 4.2 and can't find actual hours worked posted by anyone. How's the culture really? I'd be aiming for DS consulting, something more functional but with DS/ML concepts as my differentiator.
C3.ai, Inc.
today I choose violence

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Can you tell us location? Surface level, it doesn’t seem awful for GPS
Yeah I think this is a good offer and you should be able to learn a lot
It’s the real deal and GPS is a good place to be for it.
For s&a C level that’s a good salary GPS. Homegrown similar YOE at 100k. I’ve always been in eng roles but you have to be proactive about it
Looks good for GPS
Doesn't seem terrible, tho when you say data engineering offer do you mean a non-consultant track?
No, traditional consultant track. Just didn’t want to get into the Deloitte specific groupings like S&A and A&C