I’ve always wanted to be a DS at Google and I really thought that DS @Meta would be a bridge to get there. Plus with a referral from a friend & current data engineer, didn’t even get a first round interview. Hypotheses 1/ My resume isn’t aligned with the role enough 2/ Meta DS is a (high pressure but no less glorified) product analyst and Google saw right through that 3/ My YoE is 2 and Google, notorious for down-leveling, is looking for 3-4 years; their lowest levels aren’t as far down as they’d like to drop me 4/ Macroeconomic conditions are prevailing factor Thoughts? Edit: Would Amazon DS on the resume be a good intermediary step? I see that they often work in forecasting, ML, etc and seems to be more technical than Meta DS (which is mostly SQL, hypothesis testing, opportunity sizing, and communications) #google #Meta #datascience
I applied for a niche position, which happened to be my phd thesis topic, with referral, and got no response. Google hiring it's a big machinery, so I don't think we should give it too much thought if we don't hear back from them
Likely due to hiring slowdowns and then only trying to fill business critical roles
Yoe is too low
I think that’s probably what’s up. I’m sure if I stayed at Meta for >2 years that would open the door
Did you apply for DS or PA at google? Google’s DS is equivalent to Meta’s research scientist. Recruiters know how the roles map so if you applied for DS your meta experience wouldn’t count for much towards that role
Don't think so much about it. Sometimes it just doesn't go your way for a variety of things that have nothing to do with you. Just keep trying, it will work out
Ty!
Nothing to do with you. There is hiring freeze
G has a complete hiring freeze for 2 weeks, they are assessing their headcounts. Give some time, and u should get it
It’s honestly the opposite: Google product analysts are easily equivalent to product analytics ds elsewhere, prob do more stats on average. Google DS is the odd one out and not that great of a role: only marginally higher comp than PA, very high promo bar compared to PA, and basically requires a stats PhD even though the work is often the same as PA. Just wait till 3 YOE and apply for PA.
So the reason I was attracted to google DS (and maybe this a bad reason) is that I perceived that their version of DS is more related to Stats. I really enjoy thinking about causality, designing regression models that informative, and maximally leveraging data to make decisions. At Meta, anytime I mention something like a random effects model, I get a huge eye role “why can’t this just be a T-test?” And “cool but is it stat sig?” Maybe I’m putting unrealistic expectations on Google DS. (Google PA might be more of what I dislike at Meta.)
Yep, I get to do all of that as a PA, and half my team are DS. There’s not this crazy overreliance on experiments here. Plus plenty of DS just do exactly the same stuff as at meta. It’s really mostly about the team.