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Ok be honest, candidates. I really love this set of questions, I’ve been considering shifting my current interview style to these questions - I think they really give you an idea of who this person would be within the work setting. But the questions almost feel too deep for a recruiter to ask. What would you think if a recruiter took a different path and asked these questions instead of the usual ones?
https://blog.shrm.org/blog/9-interesting-interview-questions-that-actually-reveal-a-lot-about-candidat
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BCG Platinion Boston Consulting Group Have a senior data engineer coderpad interview coming up with BCG Platinion within the next two days.wanted tk understand how BCG Platinion is different from usual BCG consultants and is it worth going for the interview process? I read somewhere Platinion folks donot get the same comp and perks like BCG consultants and the work too is not that great..appreciate your inputs and thoughts fishes!
Hello Deloitte 🐠 20 YOE. Have referral for a content and marketing M role in cybersecurity -- the focus of my career pivot. Submitted my application today, but my referrer isn't in Cyber. Interested to widen my Deloitte Cyber network to get my resume in front of a human, since ATS has no vision or imagination. If you're willing to connect, please DM. So far, made it several interview rounds into roles with EY and Accenture. Optimistic, but want to be as proactive as possible. Thanks!
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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
What is a data lake in basic terms?
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