throwaways66722

7 ms·

1.
by throwaways66722 7y ago
Nope, there's many other data science shops in McK, although the branding is beginning to merge under the QB umbrella. I see little difference. Sometimes it's an EM + 1 or 2 data scientists. Sometimes its an EM + 1 data scientist
2.
by throwaways66722 7y ago
This only really applies to really large companies mind you, but I would say: 1) You don't need to work your way up the approval chain. Your idea is already going to people with the authority to act on it. 2) You have significant abili
3.
by throwaways66722 7y ago
No... that's not a good explanation. While it is true they're salaried, there are plenty of professions that bill by the hour for the time of salaried employees. How you bill doesn't need to match how you pay salaries. It cou
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by throwaways66722 7y ago
Current McKinsey. Former 23 year old. I would take a different perspective. The issue is not 23 year olds being better than others. It's the fact that the 23 year old from McKinsey comes in with incredible political capital equivalent
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by throwaways66722 7y ago
McKinsey does flat fees. The flat fees are driven by a rate card estimate, but there's no marginal cost to an extra hour... fwiw
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by throwaways66722 7y ago
McKinsey data scientist (basically a consultant who codes). Can answer this after following some colleagues who have left and seen many technical teams at clients for my general role. Most data scientists... don't know what to do. And
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by throwaways66722 7y ago
I would prefer to remain anonymous but I'm open to answering questions here
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by throwaways66722 7y ago
Not really. They're pretty much the same. *current mckinsey data scientist who got an offer from both Gamma and McKinsey, and turned down Gamma despite being offered a higher salary.
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by throwaways66722 7y ago
actual mckinsey employee. no, other posters don't know what they're talking about. Fees will vary, but that's way, way too high except for perhaps the senior partners (who wouldn't be there most of the time anyway). ffs