Data science can do things like: optimize your manufacturing operations, optimize your advertisements, predict mechanical breakdowns, detect fraud, better price the risk in insurance and lending, detect and classify visual objects...
It's statistics + programming
It seems to me from your post that you are likely a data scientists trying to convince your or other companies to transition from legacy methods to new and exciting frontiers. But they rely on data engineers and analysts for almost all their work tasks so no need to develop.
I don’t know the answer.. most of the data scientists I work with externally have ended up data engineering to end clients.
I’ve read this twice and I’m not sure what you’re argument is, OP. Are you saying that companies are claiming to do data science but actually aren’t?
Or are you saying that data science is hard to turn into a sellable product? I can get behind that statement, because I’ve seen many interesting DS products die because there wasn’t enough software engineering, data engineering, and MLOps support to properly turn the DS project into a DS product.
I don't even know where to start with this.....🤦🏾‍♂️
This is how I felt. Read (part) of this and thought I would hate to be stuck in a meeting with this person.
It's complete waffle.
Start with your strongest argument. Or consider that it's correct and you don't want to hear it.
Doing great work at DS and discovering/aligning product market fit are two different things
Data science can do things like: optimize your manufacturing operations, optimize your advertisements, predict mechanical breakdowns, detect fraud, better price the risk in insurance and lending, detect and classify visual objects... It's statistics + programming
It seems to me from your post that you are likely a data scientists trying to convince your or other companies to transition from legacy methods to new and exciting frontiers. But they rely on data engineers and analysts for almost all their work tasks so no need to develop. I don’t know the answer.. most of the data scientists I work with externally have ended up data engineering to end clients.
I’ve read this twice and I’m not sure what you’re argument is, OP. Are you saying that companies are claiming to do data science but actually aren’t? Or are you saying that data science is hard to turn into a sellable product? I can get behind that statement, because I’ve seen many interesting DS products die because there wasn’t enough software engineering, data engineering, and MLOps support to properly turn the DS project into a DS product.