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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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Has anyone here worked on SAP BTP yet?
Sharks your thoughts on this plssss

Additional Posts in Job Hunting in Tech
I got a call from the Google recruiter about my L7 em interview Google She said I did overwhelmingly good on all interviews except one had mixed feedback on a system design. No surprise because it was not a good interview. The recruiter said i had a choice to go to hiring committee, give referrals they could call about my system design or take another system design interview. I’m not confident about the system design because of the bad experience I had with the previous interviewer. What should I do?
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You’re already ahead of the game digging into Glassdoor and Reddit. One extra layer I use is searching “[company name] layoffs” or “[company name] return to office” in Google News. Try this: search the company name plus “exit interview,” “Glassdoor CEO,” or “engineering blog.” You’ll uncover more behind-the-scenes thinking, especially if they have a strong tech or product presence. Also, old PR releases or leadership interviews can expose values vs. actual practice.
Pro
- Simplify.jobs chrome plugin to help fill out applications (even workday ones)
- use google site specific search to search the greenhouse / workday / other subdomains to find jobs that aren’t listed on LinkedIn
- follow brands on LinkedIn that you apply for and engage with a handful of posts in the last month or so (some likes, some comments).
- sort your job searches by most recently posted. Try to be an early applicant for any job you apply for so you’re at the top of the stack.
Pro
Sorry, this was more for finding the job postings and applying.
For research, if the company is public, try to find their last earnings call or two and listen to them. They will tell you what their priorities are coming up.
Also, search for podcasts and/or interviews (try YouTube) with the founders and/or execs. Again, they will often talk about what they’re excited about, who they see as their biggest competitors, etc…
Chief
AI helps me summarize, ChatGPT has been helpful for it.