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      Brex

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      Data Scientist Interview

      6 Feb 2024
      Anonymous interview candidate
      New York, NY
      No offer
      Neutral experience
      Difficult interview

      Application

      I interviewed at Brex (New York, NY)

      Interview

      Hr call, Manager call. Didn't clear the second round. Not a good fit email was sent over a week later. Medium - Hard interview process. projects worked on , analytical questions

      Interview questions [1]

      Question 1

      projects worked on , analytical questions
      Answer question

      Other Data Scientist interview reviews for Brex

      Data Scientist Interview

      28 Oct 2024
      Anonymous interview candidate
      Rio de Janeiro
      No offer
      Positive experience
      Easy interview

      Application

      I applied through an employee referral. The process took 2 weeks. I interviewed at Brex (Rio de Janeiro) in Mar 2024

      Interview

      Entrevista inicial com time de people, e em seguida seriam entrevistas de desafios técnicos. Porém não avancei até a etapa técnica, recebi um feedback que não encaixava na vaga logo após a entrevista de people.

      Interview questions [1]

      Question 1

      Foi perguntado o maior desafio como cientista de dados.
      1 Answer

      Data Scientist Interview

      3 Aug 2023
      Anonymous interview candidate
      Tel Aviv-Yafo
      Declined offer
      Positive experience
      Average interview

      Application

      I interviewed at Brex (Tel Aviv-Yafo)

      Interview

      The overall experience of the interviews was positive and focused on delving into our analytical experience, particularly in areas related to churn and risk. The interviews provided a valuable opportunity to showcase our expertise and understanding of data-driven insights, potentially contributing to shaping the product strategy and driving improvements within the organization.

      Interview questions [1]

      Question 1

      We spoke about our current goals and discussed an analysis project we worked on with stakeholders. The conversation shifted to business-related topics and SQL. They asked how we would define churn and why customers might churn. We suggested comparing churned users to non-churned users and examining the decline rate within approved or overall transactions. They inquired if the decline rate being higher for churned users would be the reason for churn, to which we recommended checking additional factors, looking for correlations, and conducting surveys with users for more insights. Additionally, we proposed sending a warning before the last transaction and offering benefits to encourage customers to stay.
      Answer question

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