As explained in previous posts, the interview process has 5 interviews and two take home tests. - First step is a screening interview with the tech recruiter. - The second interview is technical with some basic stats questions, LC easy/medium coding problem, and 10/15 minutes to present a technical project you did. - Two take-home tests, one on data analysis and the other on coding. - 3rd interview is more focused on data science. Just like the first technical, you start off by explaining a tech project you did. Then, you can expect general DS questions + some open-ended questions related to the take-home project (time series). - 4th interview is a live coding problem. - 5th interview is with the hiring manager. Don't be surprised if the discussion becomes technical at some point. The interview process was very well organized and took about 6 weeks. The recruiter was highly available and gave me useful feedback after each interview. Some tips: - When presenting your project, don't hesitate to bring technical depth as it enables the interviewer to better gauge your level. - Some questions are open-ended, so you are expected to show your reasoning around edge cases, potential problems etc. - For the live coding problems, asking the right questions and communicating effectively with the interviewer is important. Present how you plan on solving the problem before diving into the code. - For the take-home projects, I recommend asking the recruiter about the main points that will be evaluated. Unsurprisingly, you're expected to write clean and documented code. - Prepare some questions for all the interviewers beforehand.