Le processus a pris plus de 2 mois. J'ai passé un entretien chez Prudential (New York, NY) en janv. 2022
Entretien
Applied via Handshake/Online portal.
Received invitation of first round interview within 5 days. 45 minute Interview revolved around past projects, motivation towards Data Science and many conceptual data science questions.
Received an invitation for the final round of interviews (i.e. Superday) which had three 45 minute interviews back to back:
1) Business Problem Formulation: sounds like a case study interview, but mostly behavioral with case related questions here and there.
2) Modelling and Algorithm Knowledge interview: Questions about core concepts of Machine Learning and how to use it in production environments. Knowledge of EDA related algorithms is important too.
3) Programming and Data Manipulation: SQL, Python, EDA, ETL stuff. Some behavioral questions too.
They took a long time after that but eventually rejected me.
Questions d'entretien [1]
Question 1
What is Shapley and how to use it to visualize Neural Networks effectively?
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
Questions d'entretien [1]
Question 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,
J'ai postulé en ligne. J'ai passé un entretien chez Prudential
Entretien
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.
Questions d'entretien [1]
Question 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.
Questions d'entretien [1]
Question 1
Explain Random Forest. Define suitable metrics for the given business problem.
