At FAANG most of the work is boring copying from one datastructure from another. The remaining 5% needs understanding on working on big data, which means statis

At FAANG most of the work is boring copying from one datastructure from another. The remaining 5% needs understanding on working on big data, which means statistics (as long as you're working on backend...I'm sure frontend needs less math). I haven't seen differential equations, but sometimes calculus, probability theory and a basic understanding of machine learning and deep learning is needed to understand what other teams that you're working with are doing, or to analyze the statistical significance of an experiment that you ran. At FAANG I often wished I knew probability theory and statistics better (instead of other things that we learned at my University).