Ir al contenidoIr al pie de página
  • Empleos
  • Empresas
  • Sueldos
  • Para empleadores

      Impulsa tu carrera profesional

      Averigua cuánto podrías ganar, encuentra el empleo perfecto y comparte información sobre tu vida laboral y personal de forma anónima.

      employer cover photo
      employer logo
      employer logo

      Capital One

      Empleador activo

      Información
      Evaluaciones
      Pago y prestaciones
      Empleos
      Entrevistas
      Entrevistas
      Búsquedas relacionadas: Evaluaciones de Capital One | Empleos en Capital One | Sueldos en Capital One | Prestaciones en Capital One
      Entrevistas en Capital OneEntrevistas para el cargo de Principal Data Scientist en Capital OneEntrevista en Capital One


      Glassdoor

      • Acerca de
      • Premios
      • Blog
      • Contacto

      Empleadores

      • Cuenta de empleador gratuita
      • Centro de empleador

      Información

      • Ayuda
      • Pautas
      • Condiciones de uso
      • Privacidad y opciones de anuncios
      • No vender ni compartir mi información
      • Herramienta de autorización de cookies

      Trabaja con nosotros

      • Anunciantes
      • Oportunidades laborales
      Descargar aplicación

      • Buscar por:
      • Empresas
      • Empleos
      • Ubicaciones

      Copyright © 2008-2026. Indeed, Inc. "Glassdoor", "Worklife Pro", "Bowls" y sus logotipos son marcas comerciales registradas de Indeed, Inc.

      Empresas seguidas

      Sigue a tus empresas favoritas para estar al tanto de las últimas oportunidades y disponer de información desde adentro.

      Búsquedas de empleo

      Recibe recomendaciones y actualizaciones personalizadas al iniciar tu búsqueda.

      Entrevista para Principal Data Scientist

      17 jul 2018
      Candidato de entrevista anónimo
      McLean, VA

      Otras evaluaciones sobre las entrevistas para el cargo de Principal Data Scientist en Capital One

      Entrevista para Principal Data Scientist

      22 oct 2025
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia neutra
      Entrevista difícil

      Solicitud

      Me postulé a través de una recomendación de un empleado. Acudí a una entrevista en Capital One

      Sin ofertas
      Experiencia negativa
      Entrevista fácil

      Solicitud

      Me postulé a través de un reclutador. El proceso tomó 3 meses. Acudí a una entrevista en Capital One (McLean, VA) en abr 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.

      Preguntas de entrevista [2]

      Pregunta 1

      how would you build a churn model
      Responder pregunta

      Pregunta 2

      how would you do topic modeling on tweets
      Responder pregunta
      El proceso tomó 2 semanas. 

      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

      Preguntas de entrevista [1]

      Pregunta 1

      Your data science experience and previous projects
      Responder pregunta

      Entrevista para Principal Data Scientist

      30 oct 2024
      Empleado anónimo
      Oferta aceptada
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Me postulé a través de una recomendación de un empleado. Acudí a una entrevista en Capital One en oct 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…

      Preguntas de entrevista [1]

      Pregunta 1

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

      Entrevista para Principal Data Scientist

      8 ago 2024
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia neutra
      Entrevista promedio

      Solicitud

      Me postulé en línea. Acudí a una entrevista en Capital One en ago 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.

      Preguntas de entrevista [12]

      Pregunta 1

      "Describe a few different methods of sampling."
      Responder pregunta

      Pregunta 2

      "How would you address imbalanced data?"
      Responder pregunta

      Pregunta 3

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

      Pregunta 4

      "Describe the difference between linear and logistic regression."
      Responder pregunta

      Pregunta 5

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

      Pregunta 6

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

      Pregunta 7

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

      Pregunta 8

      "What are examples of hypertuning methods?"
      Responder pregunta

      Pregunta 9

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

      Pregunta 10

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

      Pregunta 11

      "What is the difference between bagging and boosting?"
      Responder pregunta

      Pregunta 12

      "How would you identify outliers?"
      Responder pregunta
      3