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Do we really have lay offs happening in zs ?
I was in the final stages of an interview with Microsoft two weeks ago, in partner marketing. Then the recruiter told me they were putting the hiring process on hold to assess the need for the role. Well, then we heard about Microsoft layoffs last week. Seems like most were in Xbox and Project Alpha but there’s not a lot of information out there. Should I hold out any hope that I’m going to get this job? Any insights on how much these layoffs have impacted the marketing org and/or new hiring?
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Which one to choose between Optum and Tiger Analytics for Data Scientist position? Where can I expect better data science domain expertise (In my previous companies I found very less understanding of Data Science practices as team)? Heared good things about both of these. Also hearing Tiger is expanding rapidly and getting some crap projects as well in the name of data science. Could someone put light on these things?
YOE: 4.5 Years
Tiger: 18L Fixed + 1L JB
Optum: 21L Fixed + 1.5L JB
McKinsey & Company Boston Consulting Group McKinsey & Company What’s the culture like at your respective Pittsburgh offices? Which practices are the strongest? Which practices do you see expanding/growing in the next 5-10 years?
Yinzer looking to make their way back home after a couple of years. Thanks!
Beautiful main street bridge

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So, who wants to vouch for me to Soho House?
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It has to be April Fool’s for you to be starting on a bank holiday though
Advertising being Advertising
Literally just happened to see a connection of mine on LinkedIn like your post out of total coincidence lol all the best!
Congrats! Is it a place you want to be at or more just to pay the bills for now?
Definitely a place I want to be as I'm avoiding the big networks for now.
Just curious how you found the role? LinkedIn and recruiters seem pretty quiet these days.
Got it through my own connections. The position had to be basically created for me. Recruiters didn't help me at all. Not their fault though I understand market is stale.