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I agree this is a big gap in the curricula; "engineering chops" (managing servers, environments, etc.) is what I've seen be the biggest force multiplier for dat
by claytonjy 9y ago
I agree this is a big gap in the curricula; "engineering chops" (managing servers, environments, etc.) is what I've seen be the biggest force multiplier for data scientists (esp. at non-huge orgs), not how good at stats they are or how fancy a model they can build.
- iamwil 9y agoWhich orgs have you seen this as the biggest force multiplier? From the sibling comments in this thread, it seems like there are some agree, and others don't. I was curious if there's a segment that does, and who they might be.
- claytonjy 9y agoBiased sample for sure, but me and my friends/colleagues in the midwest at companies with DS teams of <10 people, often <5. Companies/teams far too small to separate the builders from the shippers. I also practice data science from a more engineering angle than many which further colors my opinions. Building models is fun, but I also enjoy deployment and maintenance, so I don't _want_ to hand that part off.