Me postulé en línea. El proceso tomó 2 semanas. Acudí a una entrevista en X (San Francisco, CA) en jun 2013
Entrevista
Applied online and received an email from recruiter after 3 days asking if I am available to chat about my background. After I talked to the recruiter, we arranged for two phone screens. The first one was mainly coding. The interviewer had a very strong Chinese accent and I couldn't understand him most of the time. He had a difficulty explaining the problem he proposed to solve (putting a number of courses into a graph and sort them according to the fact that some courses needs to be taken before other ones). However, he tried to help.
After the first interview, I felt that I am overqualified for the job as the interviewer asked very basic questions and I felt that they are looking for someone with BSc or MSc (not PhD). I emailed the recruiter with my impression and asked for what exactly they are looking for. She did not answer me and I received the second phone screen on the next day as scheduled.
The second phone screen was more about the overall picture and how would you use Map/Reduce to tackle a problem (splitting a very large graph into small ones and parallelize the computation of edges according to the fast/dynamic change of data). And some genreal machine learning questions. This interviewer was easier to understand.
After two days of the second phone screen, I received an email form the recruiter explaining that they decided to proceed with other candidates who seems to be better match (as I expected after the 1st interview).
The recruiter got in touch to set up a screening call. I was asked basic questions concerning my background and my motivation. Then we had a coding challenge with a question I later found on LeetCode under the Twitter section for the last 6 months.
Case study was interesting; interviewer was previously from uber so some similar interview questions, techniques do apply, overall a good engaging exercise. Nothing to complain about. Overall it is okay
Preguntas de entrevista [1]
Pregunta 1
explain probability distribution, how to track cohorts, a/b testing, case study on casual inference, working sample codes based on sample user behavioural usage dataset.
Python Coding of data science algorithm. Python library fundamental knowledge questions.
Data structure and algorithms coding.
System design of distributed compute systems.
A behavioral question round.
Followed by a hiring manager round.