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      Búsquedas relacionadas: Evaluaciones de Contentsquare | Empleos en Contentsquare | Sueldos en Contentsquare | Prestaciones en Contentsquare
      Entrevistas en ContentsquareEntrevistas para el cargo de Data Scientist en ContentsquareEntrevista en Contentsquare


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      Entrevista para Data Scientist

      5 de ago de 2024
      Empleado anónimo
      París
      Oferta aceptada
      Experiencia neutra
      Entrevista promedio

      Solicitud

      Me postulé en línea. El proceso tomó 4 semanas. Acudí a una entrevista en Contentsquare (París) en mar 2022

      Entrevista

      I applied online, got contacted by one someone in their talent acquisition team. The process is as follows, 3 main steps: - Overview interview with a manager - Homework to do (in this case a Data Science kaggle like exercise, with free emphasis, you can either perfect the model, the data analysis or the productionizing, each part needs to be addressed) - Technical interview with Data Scientist about the homework + questions During the whole process you get feedbacks from the talent acquisition team, which is super nice. Be careful of the entry level they offer you, as it is really hard to get promoted when inside.

      Preguntas de entrevista [1]

      Pregunta 1

      Why would you use batch normalization?
      Responder pregunta
      avatar
      Respuesta de Contentsquare
      1y
      Thank you for writing a review. We're glad you appreciated the regular feedback from your recruiter. Regarding promotions, there is a company-wide visible career framework that explains the main differences/expectations between all the levels. If one feels they should be promoted they're welcome to have the conversation with their manager/HRBP and use the career framework to support them.

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

      Entrevista para Data Scientist

      17 de jul de 2023
      Empleado anónimo
      París
      Oferta aceptada
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Me postulé en línea. El proceso tomó 4 semanas. Acudí a una entrevista en Contentsquare (París) en jun 2023

      Entrevista

      The process consisted of an initial interview with a Talent Acquisition Partner, to talk about my profile and career plan (30 min). After that, I had an interview with a Data Science manager to discuss the duties of the position, bilateral expectations of the internship, my experience in the topics related to my potential tasks and explain in-depth a significant data science project I worked on in the past to evaluate some technical knowledge (1 hour). Finally, I was required to solve a remote exercise consisting of an end-to-end data science project to showcase skills linked to the internship project qualifications. Based on your performance, a follow-up discussion on the choices taken in your solution may be required additionally. It is worth pointing out that after every step of the process, you will receive direct video-call feedback from your Talent Acquisition Partner, whether the result is favorable or not. I have nothing but positive comments of the recruitment process at ContentSquare, I have been through several interview processes in previous years with top-tech companies and I have never had such a personalized and humanized experience in recruitment. I highly recommend you apply to ContentSquare if there is any position of your interest.

      Preguntas de entrevista [1]

      Pregunta 1

      Questions related to previous data science projects (depends on the candidate). The remote exercise consists of an end-to-end data science challenge related to the project the intern may be assigned to. Scripts/notebooks + documentation files are expected to be provided with a full project breakthrough consisting of data exploration, data pre-processing, feature engineering, business-case analysis and predictive model iteration (if possible).
      Responder pregunta
      avatar
      Respuesta de Contentsquare
      2y
      Hello and thank you for your glowing feedback. We're so glad that you had a positive candidate experience while going through the interview process with Contentsquare!

      Entrevista para Data Scientist

      3 de may de 2022
      Candidato de entrevista anónimo
      París
      Sin ofertas
      Experiencia negativa
      Entrevista promedio

      Solicitud

      Me postulé en línea. El proceso tomó 3 semanas. Acudí a una entrevista en Contentsquare (París) en abr 2022

      Entrevista

      I had applied for a senior data science role. The process had to be a call with HR, a call with the Head of Data Science, an assessment, and finally a fit interview. Actually: 15 min phone call with a TAS Then a 1 hour interview with the Head of Data Science. Then they were not sure about my seniority so a 1 hour .interview with an engineering manager. After this I was told we could move further, but the engineering manager apparently noticed I was not very enthusiastic (wtf, in which company everyone constantly smiles?) Then a home assessment. I sent back my work and a week later I was told the DS team was happy and impressed about my work but in the meantime (in a week) they already had hired 2 senior DS.... They told me they would see if any role could match my profile. Finally they might had a role but still wanted to be sure about my seniority so proposed me an intervew with a a DS research scientist and a software engineer. To tell me in the end that I did not fit their requirements. This process was pifful.

      Preguntas de entrevista [1]

      Pregunta 1

      Algorithmic complexity of the KNN
      Responder pregunta
      avatar
      Respuesta de Contentsquare
      4y
      Thank you for your feedback and for applying. We are truly sorry that your recruitment experience was not aligned with our company's values. We will work closely with our team to ensure this doesn't happen in the future. If you'd like to discuss further, please connect with Marisa Bryan, who leads Talent Acquisition. We're always keen to improve what we do and appreciate you taking the time to share your feedback.

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