Questions d'entretiens - Principal data scientist
137Questions d'entretien pour Principal Data Scientist partagées par les candidats
Various low level questions about SQL, probability theory, Python. Practical application of knowledge - this is a business problem we had, how would you design a solution? etc.2 réponses
After 10+ years as a working data scientist, I was not expecting a basic statistics final exam, nor questions regarding experience regarding the deployment of models into hosted environments. Moins
Hello, Have you heard back from them after the on-site interview? If you did, how long have you been waiting? Moins
Describe how do you use CNN as your project? How difficult it is to explain the feature importance in deep neural networks.1 réponses
What are the Shapley values?
I was asked to lead a conference call with an external academic expert, to design a 'gamified' approach to the Walmart smartphone app, to structure and moderate a brainstorming session with several teams, to design a number of prototyping/testing programs, and asked many many questions. Remember, this all took place over one 9.5 hour session and another 5-day session!1 réponses
I am comfortable doing these things because I have done them many times before. I was asked a lot about why I would want to work in a full time job after having been a consultant for so many years. My answer (which is entirely truthful): when I started out doing this work, the field did not yet exist: there were no jobs. I became a consultant as a means of giving myself a job. However, I like working with others towards common goals, and would have preferred to do so from the start. Moins
When to care about bias and how to control variance in your data?1 réponses
How to mitigate the variance using XGBoost and Logistics Regression models?