Capital One Data Scientist interview questions

The process was pretty involved with a number of steps, spanning about 4 weeks. The recruiter did a good job of preparing me for what to expect at each step. I like the fact that much of the process centered around things that assessed my aptitude for the job rather than just talking about myself in behavioral type interviews. 1) Phone screen 2) Online quiz (programming, stats, and probability) 3) Technical phone screen (60 minutes with two parts on programming/algorithms and stats/probability) 4) Two-part take-home project (build a predictive model given data and exploratory data analysis / insights generation / storytelling) 5) Final round of all-day onsite interviews (3 case, 2 behavioral, 1 job fit) They gave good and useful feedback after #4. However, it was quite disappointing when I didn't receive the offer and they didn't provide any feedback on where I didn't cut it.

Very professional and clearly laid out process. The data scientist interview comprises of 4 stages. Stage 1 is a coding test using Hackerrank and you have about 2.5 hours to complete it. Stage 2 is a phone interview - partly behavioral and partly technical thinking. Stage 3 is a data science challenge to showcase your data munging and analysis skills. The 4th stage is series of 7-8 one-one interviews comprising of case studies and behavioral interviews. This job was for the Capital one labs. The people seem to be really nice and professional. The HR was very systematic and helpful in keeping you updated. The only thing is that although a startup within a big firm they seem to have the problem of a large firm. Also, they seem to test you on many technology seems like they are not used and a bit unclear as to what I will be doing once I get the offer. Overall great experience and very good interview process for a large firm. Had a better offer so did not accept offer.