I no longer hire data scientists. I hire recent CS graduates then they cut their teeth on that work because it is very easy, typically low risk, and they can learn the basics of software engineering.
I no longer hire data scientists. I hire recent CS graduates then they cut their teeth on that work because it is very easy, typically low risk, and they can learn the basics of software engineering.
In fact, this is what I've done at several startups now: take prototypes and productionize them. At this point, I'm almost a specialist in transitioning from early stage to growth stage. I can do prototyping, but I recognize that productionizing is my stronger suit.
The technology for the prototype doesn't matter — Jupyter is fine. In fact, it's better if the prototype is shite because then it makes it easier to make it the "one to throw away".
I have worked with "data scientists" that are more rebranded statisticians. Some are overpaid SASS users, but some are true statistical wizards who can also program (R/Python/SQL), and when you need them they're great. I don't need them to write production code. I'd rather call them statisticians but I'm glad to see them getting paid better!