I'm not sure I went through the whole process, but non the less it was a pleasant experience. There was an short call with an HR and then a technical interview. They were fast in providing feedback which I found more or less constructive.

The interview consisted of multiple rounds covering both technical and practical aspects of data science work. They asked about my previous work experience, tools I used, data processing scale, coding practices, and MLOps skills. The session included classic machine learning questions about when to use traditional ML versus deep neural networks, and detailed questions about ensemble methods, boosting, bagging, XGBoost, random forests, and decision trees. They also inquired about challenges I faced in previous projects and how I resolved them. After interview I got my interview feedback in the next day.