When interviewing for a data scientist position, The interviewer will quickly discover a lot about the candidate. An ideal data scientist’s skill set spans math, statistics, programming as well as databases, and business expertise. They need to probe each of these areas and also want to find out if they are smart and get things done on their own. Normally the interviewer typically only have an hour to get a feel for how a candidate fares in each of those areas (followed a week or two later by a case study if the interviewer thinks the candidate has potential). As you can imagine, this makes for an intense interview.
