I've found that people don't prepare as much if they don't perceive the role as being important to them like in when I've interviewed people maybe it's because I was at a small company and not like Amazon or something. A lot of turnover is really dependent upon people not doing that research initially right or just going through the interview process and I ask them the right questions but yeah from what I understand i think most of the turnover is from just the company not understanding that the individual wanted some role and then the company delivering Like a different kind of role or there's some just general mismatch going on. It's pretty common data science because there's not that much structure if you think
So, you finally took that recruiter's call, and then you made it through the initial phone screen. You weren't really expecting that to happen, but now you're facing an actual interview! It sounds intense and, yet, you're not sure what to expect or how to prepare for it. Flash cards with statistical concepts? A crash course in Python? LinkedIn stalking of current employees of the company? Maybe. We asked Jay Feng from Interview Query to join us to discuss strategies and tactics for data scientists and analyst interviews, and we definitely wanted to hire him by the time we were done! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.