J'ai passé un entretien chez NBCUniversal (New York, NY)
Entretien
Appiled then got a phone call to set up interview, was asked to detail a past experience of solving a machine learning problem, and the thoughts behind my decisions in the process.
J'ai postulé en ligne. Le processus a pris 3 mois. J'ai passé un entretien chez NBCUniversal en juin 2025
Entretien
I interviewed for the Peacock Data and Decision Sciences Team. Hirevue (behavioral questions) -> 1 hour technical interview -> offer. The technical interview consisted of 30 min relatively easy Python and SQL live coding questions, 15 min resume questions, and 15 min case study. I was asked about my ML and statistical modeling experience as well as my experience with Retrieval-Augmented Generation (RAG) for my resume questions. Case study was not too bad, just make sure to review things like business acumen and customer lifetime value (CLV).
Questions d'entretien [2]
Question 1
Explain the algorithm/math behind Principal Component Analysis (PCA).
J'ai postulé en ligne. J'ai passé un entretien chez NBCUniversal (New York, NY) en mai 2025
Entretien
It was easy first round of the higher view, and then they selected people to do the second round usually it’s technical. However, the higher view is probably the most important part cause as for the filter people out.
J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez NBCUniversal
Entretien
Pretty standard. Hire view interview. And then a technical round with the lead data scientist.Live SQL coding , python coding and a case study interview. I found the SQL and python questions to me easy- medium range. If you have background in computer science, you can easily clear the interview. I would suggest to prep for the case study part tho
