Hello everyone,
As a ML/DS hiring manager, I have found that the biggest challenge for finding the right talent is having to flip the rock and try hard to "spot" the hidden gems.
Must also be my personality, I reviewed everyone's resume (not just the ones filtered by the recruiter), hoping not to miss someone, anyone good!
Here are some concrete examples:
a) someone from University of Wisconsin-Madison, Phd in Math, data scientist in personalization/pricing etc. great experience. Although I was looking for someone who may have some experience in voice NLP, I thought... perhaps I could talk with this person.
b) someone from MIT with Phd in stem, strong researcher, listed some papers hard to understand, but I thought about it for a few min, the hard-to-understand paper might be relevant to what I need.
However, my recruiter disagreed. They were screened out. I begged to talk with them.
I hope to help people to get really "spotted".
Castly