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      Buscas relacionadas: Avaliações da empresa Bloomberg | Vagas da empresa Bloomberg | Salários da empresa Bloomberg | Benefícios da empresa Bloomberg
      Entrevistas da empresa BloombergEntrevistas do cargo de Data Management Professional da empresa BloombergEntrevista da empresa Bloomberg


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      Entrevista para Data Management Professional

      17 de nov. de 2025
      Candidato(a) sigiloso(a) à entrevista
      Princeton, NJ
      Nenhuma oferta
      Experiência negativa
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me por meio de recrutador(a). Fui entrevistado pela Bloomberg (Princeton, NJ) em abr. de 2025

      Entrevista

      Recruiter Screen that includes a few basic technical questions, Basic Stats + Python round with two Bloomberg employees, Pandas round with a Data Management Professionals, final round with a senior manager. Did well in all rounds except final round, interviewer was in a very bad mood. Other than that, all my other interviewers were very pleasant. Study basic stats, Stratascratch pandas, and use Kaggle datasets. Stats + Pandas round had questions like what factors would you consider when analyzing rent prices over time, what is precision and recall, overfitting vs underfitting, reverse a list in Python, etc. Pandas round covered loading in a dataset, filtering, groupby, identifying and fixing typos, visualization (the interviewer actually helped me find syntax to create a bar graph, she was fairly laid back), etc.

      Perguntas de entrevista [1]

      Pergunta 1

      What is precision and recall?
      Responder à pergunta
      1

      Outras avaliações de entrevista de vagas de Data Management Professional da empresa Bloomberg

      Entrevista para Data Management Professional

      17 de abr. de 2026
      Candidato(a) sigiloso(a) à entrevista
      Hong Kong
      Nenhuma oferta
      Experiência neutra
      Entrevista com nível médio de dificuldade

      Candidatura

      Fiz uma entrevista na empresa Bloomberg (Hong Kong).

      Entrevista

      Consists of 3 parts. The first is a leetcode-easy python coding problem. The next is a real-world solution based on statistical knowledge. The last is a taxonomy problem that requires you to find out flaws in the original one.
      1

      Entrevista para Data Management Professional

      9 de mar. de 2026
      Funcionário(a) sigiloso(a)
      New York, NY
      Oferta aceita
      Experiência positiva
      Entrevista difícil

      Candidatura

      Candidatei-me por meio de recrutador(a). Fiz uma entrevista na empresa Bloomberg (New York, NY).

      Entrevista

      I was contacted by a recruiter for the role. After an initial HR screening, there were four rounds of interviews. The first round was with the hiring manager/team lead and focused on my previous experience and general questions related to the role. The second round was a technical interview with two team members and included a live Python coding exercise. The third round was a take-home Excel assessment with basic questions related to financial statements. The final round was on-site with two team leads and included a mix of behavioral questions and discussion about past experience. For the Python round, focus on solving LeetCode easy-level questions and reviewing basic Data Modeling, ML and Stats. Overall, it was a positive experience and HR was quick with updates throughout the process.

      Perguntas de entrevista [1]

      Pergunta 1

      Difference between precision and recall
      Responder à pergunta
      3

      Entrevista para Data Management Professional

      22 de jan. de 2026
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência positiva
      Entrevista fácil

      Candidatura

      Fiz uma entrevista na empresa Bloomberg.

      Entrevista

      The first round was behavioral, followed by a technical interview focused on data modeling concepts and data quality considerations rather than coding. The second technical round involved exploratory data analysis using Python and pandas.

      Perguntas de entrevista [1]

      Pergunta 1

      Find any issues in this dataset (picture of a dataset).
      Responder à pergunta
      2