The interview lasted about 1.5 hours and was divided into three parts: ML and recommender systems questions, algorithm and SQL. The questions were medium but the interviewer was friendly and gave enough time to think through the questions.

There are three rounds, including a data analysis project, and two rounds virtually with team members, questions including stat, machine learning, math and programming, candidate must have relevant experience in data science.

The interview process started with a 30 minute recruiter screen, followed by a technical screening asking SQL and Python questions, followed by a team interview asking a combination of behavioural and technical ML questions.