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Data scientists with a strong software engineering background , where are they hiding? Jokes apart there used to be two categories of data scientists, those th
by antman 3y ago
Data scientists with a strong software engineering background , where are they hiding?
Jokes apart there used to be two categories of data scientists, those that came from a science/phd background where they duct taped their mathematical understanding to code which might work in production, and those those that come from a CS background that duct taped their mathematical/medium tutorial knowledge to an extravaganza of grid search and micro-services that made unscientific predictions in a scalable way.
So now we have the ml engineer (engineer) and the data scientist (science) with clear roles and expectations. Both are full time jobs, most people cannot to both.
- pas 3y agoall 5 of them are at Alphabet/Meta/OpenAI, no? but more seriously, unless someone's explicitly doing ML research for most applications using something off-the-shelf-ish[0] and tinkering with it works best. and this mostly requires direct experience[1] with the stack. and sure, of course, if said project/team/org/corp has so much money they even can train their own model, sure, they can then afford to have these separate roles with "more dedicated" domain experts. [0] from YOLO to LLaMa to whatever's now on HuggingFace [1] the more direct the better. you have used LLMs before? great. pyTorch? great. you can deploy stuff on k8s and played with ChatGPT? well, okay, that's ... also great. you know how to get stuff from Snowflake/Databricks/SQL to some training job? take my money!