There’s a ton of stats being thrown around in regards to jobs within the data science field: the number of open positions, high median base salaries, unmet market needs, etc. While this is promising, you can’t necessarily equate these stats to any sort of direct, personal outcome if you’re a job seeker or new to the data science world.
As such, the goal of this post is to give a little bit of insight into how I’ve been recruited since my title on LinkedIn became “Data Scientist”, and my profile gained an increasing number of skills/buzzwords. For the sake of transparency — and because it would be ironic not to do so, I’ll use some basic data science skills to conduct the analysis and share the Python code so you can follow along if you’re curious.
Author: Kyle Gallatin