Scheduling was promt. Interview was interesting, discussed open question on ML topics, like trade off training/testing etc. Mostly got general questions on training models and also a coding part. Was interview by 2 another data scientists.

The interview process was great. Not too simple and not corp. bulshit like building an ML model with a pen and then selling it to them :) Focused mostly on what you really have done and how you make your decisions. Contained the following: - Questions that are a good representation of what you'll have to do in your daily job, with some examples of why you asked it ; - Small sanity check of programming and statistics skills(nothing too hard - if you know how to perform stat. tests properly, wrote a thing or two, and know what SOLID is - you already should be fine); - Questions on decisions made based on projects listed in CV - which were the most important part I guess - was a pleasure to talk with smart people :)