Meta Data Scientist Interview Questions

Concise process, good support from the Recruiter, predictable questions, interview materials, weak response after rejection, no clear indication why - felt like it’s just an odds game, especially during your first try (they encourage to try again)

Interview had a few rounds of technical and computational, interviewers were professional and on time and punctual and they asked questions to understand why you wanted the job, your motivations and inclinations and interest.

Referred by friend, HR phone screen for around 45mins, including self-introduction, position introduction, previous experience/project, questions regarding meta products, feature improvements…. then technical interview with one of the data science managers, including self introduction, sql query, product sense…

Initially contacted by an internal recruiter. The interview rounds consisted of firstly behavioural questions followed by a case study that included a SQL-based challenge, mainly product based questions that could be backed up with KPIs and data

Easy interview, transparent and dysfunctional. It occurred on a Friday before a holiday. SQL and Python and stats. 4 part interview. Virtual. Part one was an intro. Part two was technical. Part three was a panel. Part four was an offer.

The interview process was very difficult. At the interview there were many question about my previous job experience and after that they wanted to know what is my salary expectations

Lots of pre-training sessions and was also provided study materials. Three rounds focused on case studies, statistics, and SQL. The case studies asked about how to improve some feature of an app and test its efficacy. The statistics were fairly unrelated to the app and we’re more of a GRE type question.

phone screen + on site(4 round). Combination of SQL, statistics(probability), and product/case study. Pretty intense process but everyone was very friendly and the building was really cool. I took 2 months to finish the whole process.

normal 7 rounds, good exp erience overall, regarding python programming, data analysis, modeling, case study, data modeling programming, and two rounds of bq, got offer one week after. with goo d package , and stock r s u s.

Several rounds of interviews. Both technical and non technical. Variety of skills tested. Final round was 6 different 1 hour rounds testing different technical skills. It was pretty structured and I knew what to expect in each interview.