79 karma · joined June 28, 2021
I started just learning python, learning and implementing Azure tools, taking more ML classes, taken bootcamps, working on projects at home, and working with auto-ML like data robot. I've only ever been able to actually implement simple analytics and basic NLP from scripts I wrote and packaged them up into PowerBI or such. Our company isn't really a tech company and it's easy to impress with simple improvements.
So I feel like a phony data scientist and that I couldn't pass a heavy duty pure data scientist interview at another company. However, it seems so clear that there is a big need to bridge this space with a pretty good understanding of DS concepts and approaches wit subject matter expertise, plus a lot of user friendly auto-ML or Azure tools. And it's pretty easy to get chatGPT to build boilerplate code that I can't figure out. Really not too hard to work with the OpenAI API in python. I just need a decent team to work with to help bring things into the system of production. Which is a horrible problem and mess here.
I'm sure I could float around inside this company for years but now I wonder what can I do outside? Am I a data science informed imperilment? Am I a low-level data analytics generalist? I have a strong work ethic, great personal and project management skills, and can eventually do anything I set my mind to. I feel like any company could benefit from my skills but I don't fit the bill for hiring typical DS roles. Product management seems like a path, although not the most fruitful if you want to actually do some work.
Maybe others find themselves in the place or have made these self-taught transitions to the grey areas. Other thoughts?