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Seems like a lot of unicorn hunting out there, right now. At least for senior data leadership roles, I’ve hit a lot of JDs that were clearly written for one pe
by jmye 3y ago
Seems like a lot of unicorn hunting out there, right now.
At least for senior data leadership roles, I’ve hit a lot of JDs that were clearly written for one person (either internally, or the random Meta/Google/whatever layoff that this company is sure will take a 75% salary cut for). Networking has been really invaluable. ATS systems seem slightly more inscrutable than when I was looking two years ago (wonder if there’s some weird effect from LLM-enabled resume spam).
I dunno, it’s not horrible, but it’s definitely worse right now than I remember it in the last five or six years.
- tfigueroa 3y ago> Seems like a lot of unicorn hunting out there, right now. Agreed, and I feel this is happening across job families - JDs seem much more domain-specific, especially around ML/AI. I don’t remember it being like this. Yes, there is absolutely a distinction between someone working Eng in payments vs infra vs ML, but I remember those being nice-to-haves, not requisites.
- jmye 3y agoTotally - and would add that a lot of jobs that clearly don’t need ML experience seem to want hardcore data scientists now. Orgs that are still trying to put together their first functional data warehouse, or who haven’t even built an analytics environment yet, seem convinced that they need someone to come in and build models day one. It’s weird out there.