The O'Reilly Strata Conference brings together an incredible community of people working on big data. This year, I decided to do something different for my presentation. Rather than talk about science or technology, I addressed the practical problem of interviewing the candidates to build teams of data scientists.
My slides are below, but I'll summarize the take-aways:
1. Keep it real.
Avoid whiteboard coding. Filter with FizzBuzz.
Use real-world algorithms questions.
Ask candidates to design your products.
2. No gotchas.
Gotchas reduce the signal-to-noise ratio.
3. Maybe = no.
Bad hires suck. Be conservative.
Trust your team.
When O'Reilly makes the video available, I'll post it on YouTube.