## Introduction

The Facebook data science interview consists of multiple technical and business case questions. They are heavily focused on applying technical knowledge to business case scenarios. Facebook data scientists are heavily expected to work cross functionally and explore, analyze and aggregate large data sets to provide actionable information.

The Facebook data science interview questions mainly consist of four parts, product and business senses, technical data analysis (SQL, pandas), statistics and probability, and lastly modeling knowledge and understanding of applying data.

The technical screen will always consist of one product questions and one data analysis question. Be sure to prepare for both in order to pass onto the onsite.

The onsite interview will consist of example interview questions like these:

• How would you create a process to identify fake news postings on Facebook? Define a metric.
• Facebook sees that likes are up 10% year over year, why could this be?
• How can Facebook figure out when users falsify their attended schools?
• If 70% of Facebook users on iOS use Instagram, but only 35% of Facebook users on Android use Instagram, how would you investigate the discrepancy?
Try an interactive Facebook product sense interview question

### SQL & Data Analysis

Write a query to map nicknames (Pete, Andy, Nick, Rob, etc) to real names.

Write a query to produce a histogram of user comments in month of January 2020.

Try answering this data analysis question with our interactive SQL editor

### Statistics and Probability

• Let's say you're playing a dice game. You have 2 die. What's the probability of rolling at least one 3?
• What do you think the distribution of time spent per day on Facebook looks like?
Check out our solution below

### Modeling

• How would you design a classifier to send email notifications on photo posts?
• How would you build a recommendation engine for restaurants on Facebook?
Read our guide on tackling machine learning and modeling interview questions

## Example Facebook Product Interview Question and Solution

Question:

Let's say you're working on Facebook Groups.

A product manager decides to add threading to comments on group posts. We see comments per user increase by 10% but posts go down 2%. Why would that be?

Solution: