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      Búsquedas relacionadas: Opiniones sobre Affirm | Ofertas de empleos en Affirm | Sueldos en Affirm | Beneficios en Affirm
      Entrevistas de AffirmEntrevistas para el puesto de Data Scientist en AffirmEntrevista de Affirm


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      Entrevista de Data Scientist

      25 oct 2016
      Candidato de entrevista anónimo
      San Francisco, CA
      Sin oferta
      Experiencia negativa
      Entrevista normal

      Solicitud

      Solicité el puesto a través de un captador. El proceso duró 4 semanas. Acudí a una entrevista en Affirm (San Francisco, CA) en sept 2016

      Entrevista

      Their recruiter contacted me; he was professional and helpful. After an introduction and two phone interviews (one technical, one with a hiring manager), I went to their office in downtown SF for an onsite interview. I was looking for a machine learning position, but I interviewed for a data scientist position instead. I had four interviews, two data science, and two coding interviews. Overall, the technical interview process was straightforward and simple. Their data scientist engineers are smart, energetic, but lightweight on statistics/math. When I start talking about the statistical theory or even regularization, they looked lost. Their approach to machine learning was mostly based on trial and error rather than analysis. They would try different algorithms from sklearn and plug it to panda hoping it would work. I was completely shocked by their cultural fit interview which happened during their lunch time. The interview was with 3 of their engineers from data science team. Their data scientist team completely lacked vision. The first red flag appeared when I started asked questions about Affirm's business and finances. How the company is managing the risks? How the data science team is achieving the Affirm's vision? Where affirm would be in the next 5 years? These are the typical questions I asked every company. I was shocked when they answered half of my questions with "we cannot tell you that, that is secret". They had no background on finance, which I found shocking for a company with a modern banking mission. The final nail in the coffin was when I asked how they validate their business model or measure success, expecting an objective answer from a "data scientist", instead I got the "dude, look around. We have the coolest office". Finally, during the interview I was working a tsv file that had a lot of user information. Even if the user info was hashed/mangled, they exposed a recruit with the type of the data they were collecting from their users, which is unethical and violates the user's privacy.

      Preguntas de entrevista [1]

      Pregunta 1

      - Write a package manager like apt-get
      Responder pregunta
      16

      Otras opiniones sobre las entrevistas para el puesto de Data Scientist en Affirm

      Entrevista de Data Scientist

      7 oct 2019
      Empleado anónimo
      Oferta aceptada
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Solicité el puesto a través de la recomendación de un empleado. El proceso duró 2 semanas. Acudí a una entrevista en Affirm

      Entrevista

      One phone screen and one on-site technical interview. Phone screen was on feature interpretation of machine learning models. On-site was 5 hours, with technical and theory questions. The technical were really nice because they gave a real data set to play with. This is a key difference from other companies and gave me a sense that they understand what data scientists do. Whiteboarding with data, in my opinion, is just nonsense. You have to see and visualize the data to understand it and what issues you may have with it. The theory questions were fairly standard stats/machine learning questions, though some were tricky. I left the interview with a good impression of the company and with the feeling that they understand the role of data scientists within the company.

      Preguntas de entrevista [1]

      Pregunta 1

      Here's data in tabular format, import, explore the data, and build a baseline classifier.
      1 respuesta
      1
      avatar
      Respuesta de Affirm
      6y
      Thanks so much for taking the time to leave a review. We strive to provide a positive and engaging interview experience for all candidates, and we’re glad to hear you left with a good impression!

      Entrevista de Data Scientist

      14 dic 2019
      Candidato de entrevista anónimo
      Sin oferta
      Experiencia neutra
      Entrevista normal

      Solicitud

      El proceso duró más de 1 semana. Acudí a una entrevista en Affirm en jul 2019

      Entrevista

      Their recruiter contacted me. We talked over the phone briefly and they scheduled a call with one of the team members. The second call was ok. We spent lots of time convincing each other about our understanding of some ML techniques. After one day, recruiter sent me rejection message.

      Preguntas de entrevista [1]

      Pregunta 1

      How we can measure the importance of features in regression? and then some special cases.
      1 respuesta
      avatar
      Respuesta de Affirm
      6y
      Thanks so much for sharing your feedback. We wish you the best of luck in your search.

      Entrevista de Data Scientist

      8 nov 2018
      Candidato de entrevista anónimo
      Sin oferta
      Experiencia negativa
      Entrevista difícil

      Solicitud

      Solicité el puesto a través de la recomendación de un empleado. El proceso duró 2 semanas. Acudí a una entrevista en Affirm

      Entrevista

      I had a great recruiter interview. But the second round was really awkward. At first, they missed my call and rescheduled it after 40 minutes of original time has passed. The rescheduled call wasn't very good either. The interviewer shows zero patience and seems to be pretty pissed when I can't answer the question. I was constantly talked over when I was struggling with the questions. Overall it was a disappointment after that great recruiter call
      2
      avatar
      Respuesta de Affirm
      7y
      Thanks so much for taking the time to leave a review. We strive to provide a positive and engaging interview experience for all candidates and we’re sorry to hear your time with us did not reflect this.

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