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      Capital One

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      Buscas relacionadas: Avaliações da empresa Capital One | Vagas da empresa Capital One | Salários da empresa Capital One | Benefícios da empresa Capital One
      Entrevistas da empresa Capital OneEntrevistas do cargo de Principal Data Scientist da empresa Capital OneEntrevista da empresa Capital One


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      Entrevista para Principal Data Scientist

      17 de jul. de 2018
      Candidato(a) sigiloso(a) à entrevista
      McLean, VA
      Nenhuma oferta
      Experiência negativa
      Entrevista fácil

      Candidatura

      Candidatei-me por meio de recrutador(a). O processo levou 3 meses. Fui entrevistado pela Capital One (McLean, VA) em abr. de 2018

      Entrevista

      A recruiter reached out to me and was very encouraging and excited. The role expected a publication history and capacity to conduct research. The position was nominally up my alley, so I enthusiastically pursued the opportunity. The process was long, but each step was easy. Several stages must be passed before even discussing the real role, which makes the process prone to sinking applicants' time with no payoff. The first step was an easy coding challenge to test coding efficacy. I then had a technical phone interview that occurred about 10 days later, which tested general data science techniques. I then spoke to the hiring manager two weeks later for an hour about some details about the role, which did not sound as expected. A data challenge was then issued on a generic Kaggle-esque task. I came in for an in person interview 5 weeks later, comprising more standard data science questions (basically word problems with linear equations and some faux-consulting role play involving decision trees and ROC curves). I did not receive feedback for two weeks following the interview. At this point, the only part of the interview that touched on the skills involved in my role was the casual call with the hiring manage. After a three month process involving no test of my capability to perform the tasks involved in the role, I was rejected for not having the experience necessary for the position. Without disclosing identifiable information, despite being in the field a relatively short time, I have published in top machine learning venues and developed, by a wide margin, a state of the art technique within the field for which I had applied. The idea that my experience had been determined in an interview process that involved no technical assessment of the capabilities for the position at hand is the definition of insanity. I would like to praise the positivity provided by the recruiter throughout the process; that said, Capital One desperately needs to shorten its process, ask relevant questions, and get their heads out of the sand if they actually want to attract talent. Don't waste applicants' time like this, and don't vet using irrelevant metrics and capricious intuition.

      Perguntas de entrevista [2]

      Pergunta 1

      how would you build a churn model
      Responder à pergunta

      Pergunta 2

      how would you do topic modeling on tweets
      Responder à pergunta

      Outras avaliações de entrevista de vagas de Principal Data Scientist da empresa Capital One

      Entrevista para Principal Data Scientist

      22 de out. de 2025
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência neutra
      Entrevista difícil

      Candidatura

      Candidatei-me por indicação de um funcionário. O processo levou 2 semanas. Fiz uma entrevista na empresa Capital One.

      Entrevista

      First round is the Hiring manager call Where talked about experience and matching skill set Then online assessment- but the tool is outdated and hard to use Timed and protocols

      Perguntas de entrevista [1]

      Pergunta 1

      Your data science experience and previous projects
      Responder à pergunta

      Entrevista para Principal Data Scientist

      30 de out. de 2024
      Funcionário(a) sigiloso(a)
      Oferta aceita
      Experiência positiva
      Entrevista difícil

      Candidatura

      Candidatei-me por indicação de um funcionário. Fui entrevistado pela Capital One em out. de 2024

      Entrevista

      First, there’s a 30-minute call with the hiring manager, focusing on background, experience, and role fit, with no technical questions. Next is a take-home assessment, to be completed within 7 days, where you’ll build an end-to-end data science solution from data loading to model creation and evaluation. Successfully completing this makes you eligible for the final interview stage, called 'Power Day.' Power Day consists of four 1-hour interviews: Case Study: Includes questions like assessing if a car company should launch a new product. Check out the 'Hacking the Case Interview' YouTube channel for tips. Roleplay: You’ll receive a presentation (PDF/PPT) to study for 10 mins and explain and discuss with the interviewer about what insights you can establish from that. Technical: A live coding interview where Python and shell scripting skills are tested. Behavioral: Covers job-fit questions and situational questions like 'Tell me about a time when…

      Perguntas de entrevista [1]

      Pergunta 1

      1. Tell me about a time when the project didn't went as expected
      Responder à pergunta
      3

      Entrevista para Principal Data Scientist

      8 de ago. de 2024
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência neutra
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me online. Fui entrevistado pela Capital One em ago. de 2024

      Entrevista

      I interviewed for the Principal Data Scientist role at Capital One. I only made it through the 30-minute Technical Interview round; I did not advance to the take-home project or all-day interview. I wrote down every question I was asked - it was mostly just vague machine learning/statistics questions.

      Perguntas de entrevista [12]

      Pergunta 1

      "Describe a few different methods of sampling."
      Responder à pergunta

      Pergunta 2

      "How would you address imbalanced data?"
      Responder à pergunta

      Pergunta 3

      "How can you ensure that a model does not have multi-collinearity?"
      Responder à pergunta

      Pergunta 4

      "Describe the difference between linear and logistic regression."
      Responder à pergunta

      Pergunta 5

      "How would you design an A/B test to determine whether a campaign is working?"
      Responder à pergunta

      Pergunta 6

      "What criteria would you use to determine how reliable the control and test group are?" (follow-up to question #5)
      Responder à pergunta

      Pergunta 7

      "What are ways to increase the speed and efficiency of a model?"
      Responder à pergunta

      Pergunta 8

      "What are examples of hypertuning methods?"
      Responder à pergunta

      Pergunta 9

      "What would you do if there is a concern that your model is overfitting?"
      Responder à pergunta

      Pergunta 10

      "You are using a performance matrix to see how well a model performs. Describe the matrix."
      Responder à pergunta

      Pergunta 11

      "What is the difference between bagging and boosting?"
      Responder à pergunta

      Pergunta 12

      "How would you identify outliers?"
      Responder à pergunta
      3