Will Understanding Advanced Data Structures Make Me a Better Data Scientist?

I'm a data scientist with 5 yoe now, and I've never needed to implement a tree, a linked list, a graph, a stack, or a queue. If I need a decision tree, I use a package like sklearn. If I'm doing graph analysis, typically I treat it like a matrix. I don't even have any idea what models might need a queue, but maybe that's really important for data processing or training somewhere?

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Have any of you really needed …

advanced analysis data datascience data scientist decision graph list package sklearn stack tree understanding