Solicité el puesto a través de la escuela superior o la universidad. El proceso duró 3 semanas. Acudí a una entrevista en Prudential (Cambridge, MA) en may 2022
Entrevista
- Phone Screen (30 mins)
- Technical Interview (1.5 hours to prepare, 30 mins interview)
- 4x 45-minute product sense and general fit interviews. These had a variety of different focusses from team fit and communications skills through to data science metrics sense
Preguntas de entrevista [1]
Pregunta 1
How would you design metrics to track performance of a particular insurance product?
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.
