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I've worked with a few people who are software engineers -> data scientists. They were great at bringing good coding / database practices into the team. That sa
by sweezyjeezy 8y ago
I've worked with a few people who are software engineers -> data scientists. They were great at bringing good coding / database practices into the team. That said, their lack of formal statistics training was definitely a problem from time to time, and they seemed to show as much disregard for it as data scientists have for engineering practices (at least the ones talked about on this thread). This can be equally damaging.
- de_watcher 8y agoDealing with code (including tests and versioning) is on the same level as knowing the basic math notation. Should be embarrassing to not to apply the practices. The only problem is that these good coding practices aren't that exact, and tend to go on and on all the way to infinity.
- sweezyjeezy 8y agoI agree, many (most?) data scientists spend most of their time coding, it's ridiculous how little time they're willing to hone this skill. Data science practices are similarly inexact - a lot of good decision making comes from experience, knowing when to apply each tool to a specific problem, when to just throw in a hack etc.