The interview process was straightforward and well organized. It started with a recruiter screening about my background and interest in the role, followed by a technical interview covering SQL, Python, statistics, and machine learning concepts. There was also a case study discussion where I explained my approach to analyzing data and communicating insights. Overall, the process was average in difficulty and focused on practical data science skills.

too long process. many steps. strange livecoding where after an optimal solution they ask you about another optimal solution. A little annoying ML interview where you have to solve basic theory of probability tasks for senior position

Rapid-fire format — interviewer moved through topics quickly, frequently interrupting to redirect when answers got too long or off-track. Several questions were skipped due to time pressure or when the candidate struggled to formulate a clear answer