I applied online. The process took 3 weeks. I interviewed at X (San Francisco, CA) in Oct 2013
Interview
I applied online via the website. I was contacted promptly for a HR phone screen. This screen included basic personality tests. I then had two technical phone screens, both of which included collaborative coding, probability questions and algorithmic problems. I was invited onsite for the final set of interviews. I met with five data scientist and one data manager. All of them asked whiteboard coding / ML theory / algorithms questions. I received little information regarding the work life at Twitter.
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
Interview questions [1]
Question 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.
