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      Data Scientist Interview

      Nov 28, 2016
      Anonymous Interview Candidate
      Redwood City, CA
      No offer
      Negative experience
      Average interview

      Application

      I applied through a recruiter. The process took 4 weeks. I interviewed at C3 AI (Redwood City, CA) in Oct 2016

      Interview

      I was reached out by a recruiter for this position. First they sent me an online test for coding and data science background knowledge. After passing the test I was invited to onsite interview. There're 3 sessions for the onsite interview, each for about 45min~1hr. The first was to chat with 2 senior members. They asked how I think about the job responsibility and how I would explain various machine learning or data science algorithms and heuristics to clients. The second also had 2 interviewers, 1 asked algorithm question and 1 asked linear regression. I feel the algorithm question was weird because I don't think the answer really solves that question (despite I managed to figure out the answer he was looking for); maybe it's focus is on table/matrix manipulation instead of algorithm. As to the linear regression question, I really didn't expect questions about basic linear regression theory and derivation in a machine learning interview, and the interviewer was late to interview and just left after he heard my answer. The 3rd interview was also coding question.

      Interview questions [1]

      Question 1

      - What is machine learning? - Graph and matrix operation. - Linear regression theory and derivation.
      Answer question
      3

      Other Data Scientist Interview Reviews for C3 AI

      Data Scientist Interview

      Jan 20, 2026
      Anonymous employee
      Singapore
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied online. I interviewed at C3 AI (Singapore)

      Interview

      Hackerrank --> three tech interviews (proceed to the next one if you pass the current one) each round is 1 hour long --> hiring manager interview (1 hour)--> VP interview.

      Interview questions [1]

      Question 1

      tech interviews: 1) (1 hour) traditional ML based case study, 2) (1 hour) ML concept deep dive, and 3) (1 hour) coding (leet-code medium)
      Answer question

      Data Scientist Interview

      Dec 19, 2025
      Anonymous Interview Candidate
      New York, NY
      No offer
      Positive experience
      Average interview

      Application

      I interviewed at C3 AI (New York, NY)

      Interview

      Resume screening -> technical assessment -> 4 rounds of interviews: - personal projects, simple questions not there to trick you - situational questions: "what would you do if..." - machine learning: starts from the very basics (stats and probabilities) to more up to date models - coding: medium leet code

      Interview questions [1]

      Question 1

      What's the particularity of Resnet ?
      Answer question

      Data Scientist Interview

      Oct 13, 2025
      Anonymous Interview Candidate
      London, England
      No offer
      Positive experience
      Difficult interview

      Application

      I applied online. The process took 3 weeks. I interviewed at C3 AI (London, England) in Oct 2025

      Interview

      I applied directly after seeing a job advert on LinkedIn. There are MCQ and coding assessment on Hackerank, followed by a screening interview. It all went well and got invited to the technical day. To prepare for the technical interview, I went through all materials and questions shared by others on this website and once I was half way, I noticed that the questions tend to be similar, except the pairwise coding. I recommend you go through questions here to be better prepared for the technical day. The interview was generally okay and the team was nice. Started off with Case Study (30 mins); followed by ML questions (30 mins); and finally coding (1 hour). There is barely time in-between to switch so expect to transition very quickly. For the case study, think out loud it helped me to figure the actual problem, as they only share the problem and you figure the rest out. The coding was fair, I had done a couple of Leetcode but they started off with Linear regression etc, kinda caught me off guard and wasted 35 mins on it. Though the program ran, the interviewer said there isn't enough time to complete second question, and we shared our coding experiences and clarity on a few questions. I am pretty confident in stats and ML knowledge but the issue could have been coding; so make sure you are up to speed with anything that can be thrown at you. Two days later I received a rejection email. No reason after having spend so much time is a bit disrespectful but we move on.

      Interview questions [1]

      Question 1

      Case study: Waste reduction in chain stores. They simply stated that and I described it as a demand forecasting problem that can be solved with Linear Regression. Besides clarification questions, It was fine and they took it. MLQ 1. Difference between Supervised and Unsupervised Learning, and give examples 2. Difference between bagging and boosting; 3. Bias and variance, and explain in the context of Bagging/boosting 4. Performance metrics; what does AUC mean, interpret AUC of 50% 5. Gradient descent 6. Overfitting and Underfitting and how to overcome them in Decision Trees Coding: Implement linear regression, numpy, and plotting importance scores
      Answer question
      1

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