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      Colloqui di American ExpressColloqui per Data Science presso American ExpressColloquio di American Express


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      Colloquio per Data Science

      17 apr 2015
      Candidato anonimo a colloquio
      Tempe, AZ
      Nessuna offerta
      Esperienza negativa
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura tramite l'università. La procedura ha richiesto 2 giorni. Ho sostenuto un colloquio presso American Express (Tempe, AZ) nel mese di apr 2015

      Colloquio

      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!

      Domande di colloquio [2]

      Domanda 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 risposta

      Domanda 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 risposta
      10

      Altre recensioni di colloqui per Data Science presso American Express

      Colloquio per Data Scientist

      10 mar 2026
      Candidato anonimo a colloquio
      Gurgaon, Haryana
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso American Express (Gurgaon, Haryana)

      Colloquio

      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.

      Domande di colloquio [1]

      Domanda 1

      Sql questions, bagging, Random Forest, algorithms
      Rispondi alla domanda

      Colloquio per Data Scientist

      30 gen 2026
      Candidato anonimo a colloquio
      Gurgaon, Haryana
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso American Express (Gurgaon, Haryana)

      Colloquio

      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

      Domande di colloquio [1]

      Domanda 1

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

      Colloquio per Data Scientist

      8 gen 2026
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza positiva
      Colloquio facile

      Candidatura

      Ho sostenuto un colloquio presso American Express

      Colloquio

      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.

      Domande di colloquio [1]

      Domanda 1

      Analyze a dataset in Python
      Rispondi alla domanda