Getting jobs in data science and analytics is often, I don't know, highly individual pursuit. And doing that interview dance can be stressful. Preparing effectively is sort of a strange combination of knowing the basic steps wall so showing off all your best moves. Sometimes job descriptions might even specify what the skills required are as opposed to maybe like a massive unicorn wishlist of every possible thing.
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.