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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
Salary credit timings? Icici bank
What is the TC for a partner at PWC?
Thoughts? Are we also getting 9% raise?

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Any self awareness books you recommend?
Best books on leadership and sales skills?
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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.
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1) go Tech.
2) level.fyi for compensation info
Go to consulting under data science scheme first, then work a few years before exiting to tech . That’s my plan
For me, consulting helps to explore the wider aspects/industries then I can understand what type of things that each type of clients/fields look for. Besides, frankly, the entry barrier isn’t as high as Faang when it’s about Data Science. Not a bad place to accumulate exp for the good exit
Apply internally? I was asked to be DS but I was like let me try first Senior DA at this new firm.
Subject Expert
Easiest? Start doing it internally while an analyst and then get a title change.
Fastest? Apply everywhere like there's no tomorrow until you get the title. Senior data analyst should get you in the door for interviews.