Meta Data Science interview questions

The position Interviewed is not core data scientist team. I was told that this is a general data scientist hire. It means that the team which you will work for will only be determined by your willingness and the need of a product team after a training camp. The experience of interviewing with Facebook is very positive. The entire process of interview consists of three steps: 1) HR screening: HR briefed on the job and interview process of this position; After screening, HR will provide a bunch of tips and preparation materials for the upcoming online technical interview. However, regardless the relaxed atmosphere, you should be prepared with your answers to some typical behavior questions asked by HR; 2) online technical review: some data manipulation challenges (many similar questions can be found in other glassdoor reviews for the same position), online A/B experiment questions and short analytical questions (I was told that the pass rate of the round of interview is 1/5); From my standpoint, this online interview is mini-version of onsite interview by preliminarily assess the core skill set: statistics, analytical, data manipulation (R/Python/SQL) and product sense. 3) onsite interview: 2 sections on analytics (some reviewer called it product questions), 1 section on Math (not brain teasers), 1 section on technical (in-depth SQL data manipulation and interpretation of sample results; 2 section on SWE (whiteboard coding).