Capital One Data Scientist interview questions

Questions cover data processing, model building and deploying a model

Some technical questions were kind of vague and interviewer was having a hard time articulating them and I was having a hard time understanding what they was asking. They were more focused on the engineering portion. Not so much on modeling. They tried to cover all aspects of building and deploying a model. For the Case study round, expectations were a little confusing as they had a word document displayed on zoom with some numbers and were updating it while we were discussing and there were points when I wasn't sure if they are waiting for me to say something or are they working on updating it so I should wait for instructions. During statistics role play, you will be given some time to review a slide with numbers and charts pertaining to a particular business problem and then explain insights, recommendations, how will you do it differently. Again here, it is up to you to time the whole process. The interviewer asked very few questions and mostly listened and kept their video off while I was reviewing the slides. I think I was average on all rounds. You would need a strong understanding of data engineering, solving case studies and above average statistics knowledge to succeed.