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      C3 AI

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      Buscas relacionadas: Avaliações da empresa C3 AI | Vagas da empresa C3 AI | Salários da empresa C3 AI | Benefícios da empresa C3 AI
      Entrevistas da empresa C3 AIEntrevistas do cargo de Data Scientist da empresa C3 AIEntrevista da empresa C3 AI


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      Entrevista para Data Scientist

      18 de fev. de 2016
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência negativa
      Entrevista com nível médio de dificuldade

      Candidatura

      Fiz uma entrevista na empresa C3 AI.

      Entrevista

      Talked over the phone about my background and experience. Didn't make it past this first filter. Obviously, if I can't sell myself, that's my fault, but I was annoyed that C3 Energy never called or emailed me back to tell me their decision. This behvaior reflected a lack of empathy and concern for other people. I'm glad I took a job elsewhere.

      Perguntas de entrevista [1]

      Pergunta 1

      What projects have you worked on?
      Responder à pergunta
      3

      Outras avaliações de entrevista de vagas de Data Scientist da empresa C3 AI

      Entrevista para Data Scientist

      20 de jan. de 2026
      Funcionário(a) sigiloso(a)
      Singapura
      Oferta aceita
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me online. Fiz uma entrevista na empresa C3 AI (Singapura).

      Entrevista

      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.

      Perguntas de entrevista [1]

      Pergunta 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)
      Responder à pergunta

      Entrevista para Data Scientist

      19 de dez. de 2025
      Candidato(a) sigiloso(a) à entrevista
      New York, NY
      Nenhuma oferta
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Fiz uma entrevista na empresa C3 AI (New York, NY).

      Entrevista

      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

      Perguntas de entrevista [1]

      Pergunta 1

      What's the particularity of Resnet ?
      Responder à pergunta

      Entrevista para Data Scientist

      13 de out. de 2025
      Candidato(a) sigiloso(a) à entrevista
      Londres, Inglaterra
      Nenhuma oferta
      Experiência positiva
      Entrevista difícil

      Candidatura

      Candidatei-me online. O processo levou 3 semanas. Fui entrevistado pela C3 AI (Londres, Inglaterra) em out. de 2025

      Entrevista

      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.

      Perguntas de entrevista [1]

      Pergunta 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
      Responder à pergunta
      1

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