In The Mind of Algorithms: A Conversation with UiPath's Machine Learning Team

First, he has to know how different algorithms work, and why they work, so that he knows what tool to choose for the job. Second, he has to figure out how to make the best use of domain knowledge, and give possible "shortcuts" to the Neural Net--this can turn potentially unworkable problems feasible, because it heavily trims down the "number" of bad tries. This is both a problem understanding challenge, and also a technical challenge--you have to write good code for it.