First there was a Recruiter Human Resources phone screen, then a Hiring Manager interview, a panel with two to three other current data scientists, and a technical round. Pretty standard and straight forward.
Me postulé a través de un reclutador. Acudí a una entrevista en Integral Ad Science (New York, NY)
Entrevista
I had a recruiter phone screen, another phone screen with 2 DS's (included some easy live-coding on a shared screen), a homework assignment, and an on-site.
The on-site portion was a pretty typical interview for a Senior (or non-Junior) DS role. I was given a 'homework assignment' beforehand, and I walked the entire DS team through my solution - they asked about my method and quizzed me on what I thought the next steps would be.
The 1:1 interviews were the usual mix - algorithmic whiteboarding in Python, talking about Machine Learning projects, whiteboard probability problems, and talking to some of the DS's about their projects and how I would think about them.
Everybody I spoke to was extremely smart and very nice.
Preguntas de entrevista [2]
Pregunta 1
We're trying to do ____. What do you see as the challenges here? How would you approach this problem if you were in charge of solving it?
Me postulé a través de un reclutador. El proceso tomó 3 semanas. Acudí a una entrevista en Integral Ad Science (New York, NY) en mar 2016
Entrevista
Three stage interview process. 1) On-site 30-45 min technical interview. 2) Data analysis assignment/report with a week to do. 3) On-site long interview that starts with discussing the data analysis assignment results/report with all the team members and then with many one-on-one meetings with team members.
Preguntas de entrevista [1]
Pregunta 1
Questions on probability, algorithms, map reduce, machine learning, ad tech related problems.
