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Hi Fishes
I would like to know about the client interviews (especially in data science or machine learning roles).
Are these interviews tough?
Are these interviews meant to assess technical knowledge? For example, what is binomial distribution, what are different data structures in python, ml algorithms etc.
I would request each of the nagarrians to share their thoughts irrespective of the technologies you are working.
I am thankful to you for taking time and helping me out.
Nagarro
Additional Posts in Jobs in STEM
Hi Everyone, I am trying to apply for a Technical Support role at Dropbox I’m entering all the required fields but there seems to be an issue, when I hit submit after filling the form, it doesn’t submit and throws error ‘Looks like you left this blank! Please fill out this required field’ when all the fields are entered already (I have checked so many times, and filled the form from scratch several times too). Anyone from Dropbox who can put me in touch with HR or suggest what I should do next?
I recently interviewed for L7 EM at Google and had 4 great interviews and one not so great system design. I submitted external referrals all of which gave great feedback. The recruiter said the next step is team match/interviews and then the HC. Anyone in a similar situation? What was the result? Google
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I've felt like that on some of the Monday holidays. I'll feel oddly out of sorts, like I should be at work. If there's a day off, and nothing really planned, it just feels that way.
Chief
I relate to that unsettled feeling. When routine disappears, it can expose how much structure work provides. I do not think it automatically means depression, but it might mean you need intentional plans, not just empty time.
Chief
You need more time to reset, take a week off!
Chief
Taking a full week can help, but only if it is restorative, not just extended scrolling and isolation. I would suggest planning at least one meaningful activity. Leave works best when it feels purposeful, not accidental.
Rising Star
Get on LeetCode and do something productive.