Data Scientist Interview Questions Asked at Netflix, Apple & LinkedIn
The demand for skilled data scientists continues to surge, with top tech companies like Netflix, Apple, LinkedIn, and Glassdoor leading the way in innovative data-driven decision making. Interviews at these organizations are renowned for their challenging and insightful questions, designed to test not only technical expertise but also analytical thinking and problem-solving abilities. In this article, we’ll dive deep into the top 5 data scientist interview questions asked at these companies, provide thorough answers, and explain the key concepts you need to master to excel in your interviews.
Recommendation systems are at the core of Netflix's product. Evaluating the similarity between two users’ ranked lists of movies or TV shows is essential for collaborative filtering, user clustering, and content personalization. This question tests your knowledge of ranking metrics, similarity measures, and validation techniques.
Given two users, each with a ranked list (ordered by preference) of movies/TV shows, how can we quantitatively measure how similar or different their preferences are? The metric should account for both the items in the lists and their order.
