I applied through a recruiter. I interviewed at Yelp (San Francisco, CA) in July 2017
Interview
After a resume introduction, a recruiter contacted me to schedule a technical phone screen. The screen was a Skype video call with a data scientist on the analytics team. We chatted briefly about my background, then he asked me an open-ended machine learning modeling task. We discussed what features I would use, what model, etc. We then jumped on coder pad and he gave me a probability problem to solve via Monte Carlo simulation in Python. I partially solved the problem before running out of time. Overall the interaction seemed very positive. The recruiter contacted me a couple of days later to say they were going to move forward with other stronger candidates.
Interview questions [1]
Question 1
What features would you use to predict the number of likes on a review?
The interview process consists of three rounds. The first is a phone screening, followed by a second round focused on technical skills with Python and SQL. The final round includes meetings with other data scientists, product managers, and the hiring manager.
I applied online. I interviewed at Yelp (Toronto, ON)
Interview
first round- OA second round- technical interview, including stat, python and SQL. The interviewer deep dived into the statistical questions and asked metrics questions like how would define the metrics.
Interview questions [1]
Question 1
Can you define the metrics of success for some events?
I applied online. Few days later, a first interview was arranged with the HR, which should have been followed by a technical interview. Unfortunately I didn't continue with the process.