Data Science applicants have rated the interview process at Meta with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 59% positive. This is according to Glassdoor user ratings.
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. The process took 4 weeks. I interviewed at Meta in Feb 2018
Interview
Was first approached by an internal recruiter at Facebook via a LinkedIn message. Within a week I did an initial 15 minute screening interview in which the recruiter asked me if I had experience/competence in SQL, Python, or R.
Afterwards I was sent around 2-3 emails containing study material, along with advice on how to prepare for a 1-on-1 video interview I was to have. After I reviewed the material I was to schedule a time to interview with a Data Scientist Manager.
The interview was a mix of analytical problem solving and technical. It was enjoyable getting to interact with someone very talented in their skills and showcased Facebook's level of talent well. During the interview there was a degree of guidance as I navigated the technical components and analytical portion of the interview, which was expected per the interview prep material.
Personal Analysis of Interview:
It was great getting to be challenged both technically and analytically from the top talent around, and felt that I showcased my problem solving capabilities well but undersold my technical skills. Not sure I would have done any studying differently, I am just not at the technical level that is required at a company like Facebook.
However, it has been nearly a month since my interview and haven't received any communication from the HR department despite multiple (3) follow up emails on my behalf. Very disappointing, as I had a wonderful experience leading up to that. This experience has definitely soured the experience and desire to work at Facebook. Hopefully this is an isolated case.
Interview questions [2]
Question 1
Suppose the Recommended Friends team has updated the algorithm to analyze if the new algorithm is better than the old algorithm.
Given the following tables how would you know who has the most friends
REQUESTS
date | sender_id | accepter_id
ACCEPTED
accepted_at | accepter_id | sender_id
I applied through an employee referral. The process took 4 weeks. I interviewed at Meta
Interview
One call with the recruiter and one phone interview with a Data Scientist and moved on to on-site interview with 5 rounds of interviews. In the phone interview, it's mostly brainstorming metrics and an SQL query question. The 5 rounds of on-site interviews includes 2 SQL, 2 A/B testing and 1 Math interviews.
Interview questions [1]
Question 1
If there's a new feature that attracts more pop stars to use it, how do you evaluate whether this feature is successful or not?
I applied online. The process took 2 months. I interviewed at Meta (Londres, Angleterre) in Jan 2018
Interview
Applied for graduate scheme in London. Got a call from a recruiter. Then online interview with data scientist, lastly 5 on-site interviews in day. Questions on product sense, statistics, SQL, analytical reasoning.
Interview questions [1]
Question 1
A product will be launched for 1000 people. Everyday 10 people will see it. What's the average number of waiting days for a person to see the new product?