Data Scientist applicants have rated the interview process at Quantifind with 3.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 83% positive. To compare, the company-average is 66.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 19 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at Quantifind overall takes an average of 28 days.
Common stages of the interview process at Quantifind as a Data Scientist according to 6 Glassdoor interviews include:
Phone interview: 33%
One on one interview: 33%
Skills test: 33%
Here are the most commonly searched roles for interview reports -
HM Screening. 45 mins ended up going for 1 hour. Asked about past experiences. very specific about dataset, features used. You get the sense that HM is trying to find the right alignment and talent. I took it more of a conversation based and less of a he asked you answered type of interview.
Other Data Scientist Interview Reviews for Quantifind
I was initially contacted by a recruiter for a phone screen. Once I passed the phone screen, I was scheduled for a technical interview with a person leading the data science team. During the interview, she made very rude and narcissistic comments as if she wants to prove that she is a lot smarter than me and I was thinking I never want to work with her. This interview was by far the worst experience I have ever had.
I applied through other source. The process took 4 weeks. I interviewed at Quantifind (Menlo Park, CA) in Jun 2015
Interview
I initially chatted with the recruiter who was really knowledgeable on Machine Learning which was pleasantly surprising. Then I had two phone screens. The first phone screen consisted of discussion on my research, and internship projects. Then I was given a typical consumer scenario in marketing and asked to describe how I would solve the problem from end to end. The second phone screen was more statistical and machine learning based, including a question on probability and on how I would improving a popular clustering algorithm.
The next stage was a onsite interview where I met with 3 engineers, 1 data scientist, and finally the co-founder. All of the interviewers were super friendly. The first 2 engineers gave me coding problems to solve on a whiteboard. The questions were more or less at the standard of the top tech companies. The next engineer asked me both Machine Learning questions as well as coding questions. After lunch with the recruiter, I met with a Data Scientist who asked me about my research and also asked me statistical questions (which I stumbled on).
All in all, I was very impressed with the company and the quality of people working there. Most of the Data Scientists were PhDs and all were extremely knowledgeable.