I applied online. The process took 2 weeks. I interviewed at Wayfair in Dec 2018
Interview
Had an initial call with the Data Scientist few months back but the employee was showing the impression that they are stuck on few problems and they looking for ideas from various candidates for free. Despite good initial call, got a rejection email few days after which sounded like company favors PhD's more than anyone else. I would steer away from biased company like this.
I applied through a recruiter. The process took 2 weeks. I interviewed at Wayfair (Boston, MA)
Interview
Recruiter reached out to me via LinkedIn. Did an initial phone screen and set up a technical phone interview. The interviewer spent some time going over my background and then switched over to a technical case about how to identify people using multiple devices. Asked me to describe the business value, possible approaches to do it and drilled down into different cases as I built my answer. The interviewer would suggest different paths if he felt I was plateauing. In my opinion, to keep talking about this problem for 45 minutes or so it requires a person to have significant domain knowledge about this problem or have worked in e-commerce previously, since they are looking for specific answers.
Interview questions [1]
Question 1
Technical case on cross device tracking. This question has been mentioned by atleast 5 other reviewers.
I applied through college or university. The process took 2 weeks. I interviewed at Wayfair in Feb 2019
Interview
The interview process consisted of an online technical case study and some basic questions about my past profile and a few technical questions. My first interview that was scheduled (online call) resulted in a no-show. It was later rescheduled to the following week.
The actual interview started with an in-depth discussion of one of the projects on my resume. Then a few technical questions in computer science and python. I was asked what several functions do in python which did not make sense to me as these are things that one can easily look up online and don't require any understanding of data science.
The last few minutes were a case interview based on a problem that they faced at the company
Interview questions [1]
Question 1
Basic CS fundamentals such as the Big O notation, the difference between arrays and lists in python etc.