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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
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I usually just reach out to the recruiter and let them know that while I appreciate the team’s interest, I don’t think this is the right fit for me (or whatever reason you have) and I don’t want to waste anyone’s time by continuing the interview process. Thank them a bunch, and wish them well in finding the right candidate.
It’s always gone over well, I think people appreciate that you respect them and their time, and I’ve had those recruiters reach back out to me when they think they might have a better fit.
Notify them as soon as you don’t see the right fit.
Back when in person interviews were a thing, I called the in-house recruiter (who was offsite) while walking to my car after an in person interview. They loved me, but I didn’t feel like the company was the right fit. Be transparent and honest as you never know when a) another opportunity at the same company that is a better fit might show up, or b) people you have interacted with at that company leave and end up somewhere else that is a better fit.
Rising Star
If you are not interested you do the first one as courtesy and drops out soon after.