Trying to evaluate whether to make a move to McKinsey in their quantumblack team. Currently at a series D Saas startup on an IC track. Hesitant as I know next to nothing about consulting and appreciate WLB. Are the opportunities post McK too high to ignore? Current Base: 180k Options: 10k (valued at $25 strike $8) Offer: Base: 203k Bonus: 30k Sign on: 23k YOE: 7 #datascience #dataanalytics #data #consulting #tech
Everyone I know that works there has no semblance of wlb. And honestly most tech companies would pay more.
Consulting you will work a ton
Lol — resounding no then. I should probably just stay put and apply for other tech jobs.
I guess it depends if you can crack FAANG. If you can then yes go there. If not $200k is nothing to sneeze at
how is it possible to crack Mckinsey but not FAANG? bad luck aside
That’s terrible.. that’s like associate level comp. You should be getting comped At EM equivalent. So 350k+
You know that for sure? On glass door etc seems like the average for EM is 200k, 300k max
glassdoor probably only reports on base. in tech the money is in RSU
You also need to bake in the fact that McK will work you to the bone and get 60/70 hours a week from you.
So really, figure you’ll work 70 hours and figure what you are paid. Then take the current opportunity and figure your current rate. Sign on and bonus are extra, don’t use that into calcs- you’re possibly giving up $$ for moving companies
I came from consulting, it’s very stressful and you can quickly experience long hours and weekend work. Save yourself the headache.
I’ve heard robinhood has questionable wlb. How many hours do you work? Curious
I work 9-6, maybe an hour extra here occasionally. But relative to my consulting hours, the hours are much much better.
I won’t join
If you want McKinsey on the resume and are ok with being miserable for 1-2 years go for it. About as good for your resume as working at a FAANG or getting a top MBA, if it's perceived similar to how their strategy consulting practice is. Be warned it might not be. I did a few years at Google (got paid) over doing an MBA at Wharton (no job for 2 years and 150k in tuition costs).
Good point. Right now as a data scientist my career trajectory is pretty narrow: eg director/principal/staff/manager of data science at some other tech firm. McK does open up more avenues. At least I think so?
I strongly suspect it does but I don't know any the data practice in specific. Like working at Google or Facebook would probably be better but historically it's been a heck of a name to have on the resume. I'm biased, I planned on doing an MBA to get into MBB and then I dreamed about getting into Google. I ended up skipping to the last step though.
is this for consultancy or tech t&D. also what's your impact level
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