Hi All, Hope you all had great weekend!! This post will be the last with respect to the FAANG Data Science Interview Concepts. For the last post, I decided to see what categories of concpets does each FAANG companies ask during their interview process. Let's us look into it below:
Facebook:
In Facebook data science interview process, they predominantly asks questions related to product usecases thereby they could test people with how familar they are with respect to their business acumen. Below are the top 3 categories where Facebook ask questions on.
Coding
Algorithm - In algorithm question perspective, they look for professionals with some software development expeerience
Product - usecases
Sample Questions:
investigate the discrepency in the product usage% - Product related
users activity per month day - Coding
Apple:
Similar to Google interview concepts, Apple Data Science Interview is more well rounded as in they ask questions that focus on every aspects that a data scientist need to know. Below are the categories that Apple interview focuses on:
Coding
Algorithm
Modeling
Statistical
Sample Questions:
Users to bucket in meanginful segments - Modeling
Amazon:
In Amazon, as far as I see they predominatly look for candidates who have more of a full stack developer experience so they could deploy the modeling systems to production. Below are the top catgeories of concepts asked frequently for Amazon Interview questions:
Coding
Modeling
Algorithm:
Statistics
Sample Questions:
Neural Network and Logistic Regression - Modeling
Random Bucketing - Statistics (A/B test)
Netflix:
In Netflix, they look phd experience however you can also look for data analytics and work towards the data scienece position. They also focus on product questions similar to Facebook.
Coding
Product related
Modeling
Statistics
Sample Questions:
What do you know about A/B testing in context of streaming - Statistics
Google:
In Google, the interview questions for Data Science is more well rounded meaning they ask candidates questions that covers many covers such as below:
Coding
Algorithm
Modeling
Statistics
Sample Questions:
Common Friends Friend - Coding
Highly correlated Predictors - Modeling
Resources:
Below are the sites to get the data science interview questions:
If you like this post, feel free to like, share, and subscribe to this blog for weekly updates and information related to Data Science Interviews.
Top Viewed Articles:
Comments