Tower Research Capital Data Scientist interview experience

It started with coding practice that ranged from basics to more involved implementation, and the topics spanned pandas, numpy, SQL, and even workflow-style areas like Docker and git bash. We also covered classical machine learning and design-style discussions tied to real-world projects.

There was an ML design and system design case study connected to practical work. On top of that, the process included one HackerRank OA round and multiple smaller coding and assessment pieces: a LeetCode medium, a Python coding segment, a bash script task, plus a set of 12 multiple-choice questions covering