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      Búsquedas relacionadas: Evaluaciones de C3 AI | Empleos en C3 AI | Sueldos en C3 AI | Prestaciones en C3 AI
      Entrevistas en C3 AIEntrevistas para el cargo de Data Scientist en C3 AIEntrevista en C3 AI


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      Entrevista para Data Scientist

      13 de mar de 2018
      Empleado anónimo
      Redwood City, CA
      Oferta aceptada
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Me postulé a través de una facultad o universidad. El proceso tomó 6 semanas. Acudí a una entrevista en C3 AI (Redwood City, CA) en nov 2017

      Entrevista

      My interview process included an online test, chat at a career fair, a phone screen and two separate on-sites. The first on-site was technical with members of the data science team, and the second was behavioral with members of the product team. Both my technical expertise and my ability to be an effective communicator were assessed. The comprehensiveness of the interview process and willingness of interviewers to take their time sharing their experience at the company, despite how busy they were, showed to me that they care a great deal about recruiting high quality candidates. It was clear that they have high standards and expect those they bring onboard to be driven. Additionally, the data science team's support for continued growth and learning indicated to me that they are invested in each employee's personal/professional development.

      Preguntas de entrevista [1]

      Pregunta 1

      Previous projects, open-ended data science question, algorithms etc.
      Responder pregunta

      Otras evaluaciones sobre las entrevistas para el cargo de Data Scientist en C3 AI

      Entrevista para Data Scientist

      20 de ene de 2026
      Empleado anónimo
      Singapur
      Oferta aceptada
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Me postulé en línea. Acudí a una entrevista en C3 AI (Singapur)

      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.

      Preguntas de entrevista [1]

      Pregunta 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 pregunta

      Entrevista para Data Scientist

      19 de dic de 2025
      Candidato de entrevista anónimo
      New York, NY
      Sin ofertas
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Acudí a una entrevista en 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

      Preguntas de entrevista [1]

      Pregunta 1

      What's the particularity of Resnet ?
      Responder pregunta

      Entrevista para Data Scientist

      13 de oct de 2025
      Candidato de entrevista anónimo
      Londres, Inglaterra
      Sin ofertas
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Me postulé en línea. El proceso tomó 3 semanas. Acudí a una entrevista en C3 AI (Londres, Inglaterra) en oct 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.

      Preguntas de entrevista [1]

      Pregunta 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 pregunta
      1

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