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      Búsquedas relacionadas: Evaluaciones de American Express | Empleos en American Express | Sueldos en American Express | Prestaciones en American Express
      Entrevistas en American ExpressEntrevistas para el cargo de Data Science en American ExpressEntrevista en American Express


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      Entrevista para Data Science

      17 de abr de 2015
      Candidato de entrevista anónimo
      Tempe, AZ
      Sin ofertas
      Experiencia negativa
      Entrevista promedio

      Solicitud

      Me postulé a través de una facultad o universidad. El proceso tomó 2 días. Acudí a una entrevista en American Express (Tempe, AZ) en abr 2015

      Entrevista

      I got the email about the position through the university emails. I sent my resume to them and surprisingly after just 1 hour they sent me some timeslots to interview with them! They also provided me a conference call number along with a passcode to call them. In the day of interview, there were basically three people, one of them was a leader and the others were data scientists at AMEX. They started with explaining their background and wanted me to talk about mine too. After that, they asked two technical and basic machine learning questions. Questions were average and I solved the first one correctly and the second one almost correctly. It seemed that they had already chosen their candidate at that time and I've heard this from one of my friends who had applied for the position before me and got the onsite interview while I hadn't had my interview yet! I don't know why they still interviewed me while they already knew their right candidate?? I would say this is absolutely not fair while I had a pile of related publications in my resume compared to my friend who didn't have any paper at all!

      Preguntas de entrevista [2]

      Pregunta 1

      We have like million card members and along with their transactions. Also, we have 10k restaurants and 1k coupons to eat food. Give a method that can be used to pass along the coupons to the users given that some users have already got their coupons so far.
      1 respuesta

      Pregunta 2

      Given a training set of users with their demographic information, psychology test of their personality (openness to like pages or not) and the pages of FB they have liked so far, how could we predict the gender, age and other demographics of unseen data?
      1 respuesta
      10

      Otras evaluaciones sobre las entrevistas para el cargo de Data Science en American Express

      Entrevista para Data Scientist

      10 de mar de 2026
      Candidato de entrevista anónimo
      Gurgaon, Haryana
      Sin ofertas
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Acudí a una entrevista en American Express (Gurgaon, Haryana)

      Entrevista

      It was a fair and structured interview, focusing on SQL, ML fundamentals (boosting, imbalance), and business cases like fraud detection. They prioritize logical thinking through puzzles and guesstimates over complex coding.

      Preguntas de entrevista [1]

      Pregunta 1

      Sql questions, bagging, Random Forest, algorithms
      Responder pregunta

      Entrevista para Data Scientist

      30 de ene de 2026
      Candidato de entrevista anónimo
      Gurgaon, Haryana
      Sin ofertas
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Acudí a una entrevista en American Express (Gurgaon, Haryana)

      Entrevista

      It was based on machine learning and my projects..Puzzles guesstimates and case study were also tested on ..It was a campus placement so they heavily focused on statistics and rconometroc concepts ..Probability question etc

      Preguntas de entrevista [1]

      Pregunta 1

      What is p value ..Explain in easy words
      1 respuesta

      Entrevista para Data Scientist

      8 de ene de 2026
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia positiva
      Entrevista fácil

      Solicitud

      Acudí a una entrevista en American Express

      Entrevista

      Structured, analytical, and conversational interview emphasizing problem-solving, data intuition, stakeholder communication, ethical judgment, business impact, clear reasoning, collaborative mindset, behavioral depth, technical rigor, real-world cases, and thoughtful follow-up questions discussion.

      Preguntas de entrevista [1]

      Pregunta 1

      Analyze a dataset in Python
      Responder pregunta

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