In the last decade, social media giant, Facebook has grown to become the youngest 1 trillion-dollar company. A key driver to Facebook’s success has been leveraging data to understand customer behavior and develop amazing products loved by users across the world.
As it continues to grow, Facebook has been on a hiring spree to get industry-best Data Scientists onboard. So, if you are into Data Science, a role at Facebook could be a breakthrough for your career.
Having said that, it must be noted that Facebook is quite picky when it comes to hiring Data Scientists. The selection process is long and challenging. Thus, cracking a Facebook Data Scientist role is not a child’s play.
There is a lot of information out there on cracking Data Science Interviews and it can confuse you to no end. Therefore, to make it easier for you, in this article we have explained the entire Data Scientist interview process at Facebook.
So, without further ado, let’s get started.
Facebook Data Scientist Interview
A Facebook Data Scientist (irrespective of the domain) is expected to have product and business knowledge and a strong base in economics, statistics, and probability along with core technical Data Science skills.
A Facebook DS interview includes three types of screening rounds – telephonic interview, product analysis, and technical and data. Let’s go through them one by one.
- Telephonic interview: Post-screening your Data Science resume, a recruiter from Facebook will connect with you for a telephone interview. It is a general get-to-know call, where the recruiter wants to know about you and why you wish to work with Facebook.
- Product analysis round: In this round, you will be asked product-focused questions to test your knowledge and application of Data Science skills. The recruiter in this round will attempt to understand your approach to solving situational problems. Therefore, while answering such questions keep focusing on your approach rather than getting the correct answer.
- Technical and data processing round: For a Data Scientist role, you are bound to be asked technical questions in the interview. You can expect questions on product analysis, problem-solving, statistics, probability, analytics, estimation, and metrics.
Further, you can also expect questions on programming languages such as Python, R, SQL, and PANDAS and data science concepts such as data analysis, visualization, machine learning. deep learning and more.
This is how a Data Scientist interview at Facebook looks like. After qualifying the above-discussed interview rounds, there is usually one or more HR rounds.
