Career advice - DS vs. ML Career Paths
Currently work at SAP as a data scientist. Although the title is that of a data scientist, I hardly do any of the ‘data science’ work (experimental design, A/B testing, statistical analysis) in the sense of other tech companies. It’s mostly some rough prototyping of ML algorithms in R/python for different problem domains like churn analysis, image recognition, supply chain analytics, nlp etc. It is not any fancy novel research but mostly applied research to solve the incoming problem in the quickest way.
I’m currently torn between choices on the skills that I should specialize in to be successful in the long run.
Please recommend ideas on what I should do, if there are any other possible paths then please do bring them up for discussion. Thanks a ton!
TC 135k, YOE 5 (2 in current field)