Ask HN: Which kind of tasks should I be doing to be better positioned?
I've been working at a new job for about two and a half months as the first data scientist of the company and now my boss wants to look for another one. I was given the option to choose which kind of tasks I'd like to perform from now on in order to look for someone who could complement with me.
And we're also getting a frontend/backend implementation team.
I've been doing the "whole" stack: gathering and cleaning data, building the backend, researching, validating the different models...
At a first glance, I'd say that it'd be better to focus on the big picture: help define what we need to do to solve different business problems and think about ways to solve them, leaving the "implementation" stage to the other data scientist.
I think that I'm better for this kind of tasks and that also it's a better skillset to get more autonomy and leverage, but maybe I'm seeing it wrong.
I've been doing the "whole" stack: gathering and cleaning data, building the backend, researching, validating the different models...
At a first glance, I'd say that it'd be better to focus on the big picture: help define what we need to do to solve different business problems and think about ways to solve them, leaving the "implementation" stage to the other data scientist.
I think that I'm better for this kind of tasks and that also it's a better skillset to get more autonomy and leverage, but maybe I'm seeing it wrong.
What do you think? What path would you choose?