Solicité el puesto a través de la recomendación de un empleado. Acudí a una entrevista en Prudential (New York, NY) en dic 2019
Entrevista
It was a phone interview. A hiring manager asked me a lot of questions about my previous projects, the questions ranged from machine learning to probability. My impression is that the interviewer did not ask for standard answer. He would like to know if I have specific understanding of a model.
Preguntas de entrevista [1]
Pregunta 1
What is the difference between xgboost and random forest?
first the hr will contact you, then you have one on one interview with a data scientist, then another data scientist, final round is manager and a senior data sicentist
Preguntas de entrevista [1]
Pregunta 1
they will ask you a specific SQL question, and lots of DS models, their concept, pros and cons, and the metrics to evaluate the models,
Envié una solicitud electrónica. Acudí a una entrevista en Prudential
Entrevista
Consisted of a phone screen, a technical interview/takehome, and an onsite. The technical interview/takehome involved having 90 mins to complete an assignment, then talking through it with the interviewers. The onsite was a mix of cultural and technical portions.
Preguntas de entrevista [1]
Pregunta 1
How would you design a dashboard for [specific case study]? What metrics would you use? Tell us about a recent project you worked on. Walk us through it in detail.
No Online assessments. 1 Phone screen , 3 interviews on the power day. Phone Screen - about your previous experience. 3 Interviews - Mostly checking whether the candidate can provide actionable insights from a give take-home dataset.
Preguntas de entrevista [1]
Pregunta 1
Explain Random Forest. Define suitable metrics for the given business problem.
