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.
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
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
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.