CCC Intelligent Solutions Data Scientist Interview Questions
& Process

So the interview was structured pretty clearly. First, I had an HR call where we chatted about my background, and they really wanted to know about my past internships and what I achieved in them. Then, it got more technical. We started with some data structures and algorithms stuff, specifically focusing on arrays. It was all about checking how I think logically, solve problems, and if I knew common algorithm patterns for arrays like searching or sorting. After that, we moved onto neural networks. They gave me some code and I had to expand on it. This part checked if I could code and if I understood deep learning concepts like adding layers, using different activation functions, or dropout/batch normalization for better performance. They seemed to want to see both my communication skills and how deep my technical knowledge goes with this mix of HR, DSA, and neural networks.

I had a recruiter call and then a full interview round. This round included coding, some theory questions, a review of my resume, and a discussion with associate directors. The theory part involved talking about my past projects, going deep on one of them, and then a few quick questions about CNNs and computer vision.

I had my first interview with the team manager where they described the role and asked me about myself and my background. Then, I had an interview with a senior member of the team which involved a live coding exercise.