Meta Data Science interview questions

Phone screen with hr, phone screen with data scientist, techincal phone screen (one case one SQL), 4 on-sites (2 cases, 1 SQL, 1 stats). All interviews were fast-paced. They're okay if you make small mistakes if you're able to quickly recover.

Since this is a new grad role, facebook is interviewing a lot of people at the same time. Instead of engaging in a conversation, the interviewer only cared about the "THE RIGHT ANSWER" in mind which is a canned answer facebook provided in advance and refused to discuss any other methods, which doesn't make sense for such an open-ended question. I get that predefined questions + predefined answers help speed up recruiting at such scale, however, only repeating the questions without evaluating candidates on their thinking process and refusing the discuss /explore any other potential methods is disappointing. I doubt that facebook can select the best talents in this way. Process: First recruiter call, asked about background and 4 easy sql questions (join,ordering syntax etc) Next first round consisting a 20 minute product question and 20 min coding question. The coding question is very easy and can be done in either sql or python (or R ). The product part is where I am most disappointed about the interviewer.