I’m a junior data scientist with good knowledge in machine learning. I know the frameworks enough to read a paper and turn it into code. I also have models in production. If I were to leave my current job right now, what skill would get me a FANG (or other decent companies) job in this field?
I try to constantly improve my skills in software development in general and read lots of research papers but the field is just too big to master. What skills would you say will be the most valuable when I look for a job?
Also brush up on your ML trivia. Many companies I interviewed with go for broad and not depth. So make sure you can fake stuff you don't know well.
There's two data scientist path. One path is really data analyst with lower TC. They do analytics, BI stuff. Today they are called data scientist because of title inflation. The other path is the real data science where you do anything from applied research to production. Titles include applied scientist, ML scientist and ML engineer.