one round of technical questions testing SQL skills and one product question, one round of statistic questions and one product question. Not too hard. If you prepare well you can nail it.
Preguntas de entrevista [1]
Pregunta 1
How to tell whether two users are best friends on FB?
Envié una solicitud electrónica. Acudí a una entrevista en Meta
Entrevista
I applied online and then I got a referral. several days later, I received an email with the following questions to answer. I need to answer these questions and then they will decide whether I can continue or not.
Preguntas de entrevista [1]
Pregunta 1
1. What month and year do you expect to graduate?
2. Please provide a 2-3 sentence overview of a data project (internship, school or personal project) that you previously worked on.
3. What (technically) was your role in the project? Please explain how you used data to help make a decision or drive a result?
4. What ended up being (or will hopefully be) the overall impact of the project?
5. Did you do any kind of experimental design, hypothesis testing, A/B testing or multivariate testing?
6. What is your strongest coding language?
7. Are you actively interviewing, and do you have any deadlines (pending offers, etc.)?
Next question, is a Data Science Product exercise. This is a chance to get into the mindset of our data scientists as they work on FB products.
8. Let’s say we want to figure out for any Facebook (or Instagram) user, who their best friend is so we can prioritize showing their content in the News Feed. What product signals and metrics (please max at 5) would you use to determine who a user’s best friend is?
In addition, which metric is the most important and why?
Solicité el puesto a través de un captador. Acudí a una entrevista en Meta en nov 2021
Entrevista
HR was friendly and professional, but the OA round interviewer is not good. He asked me how to define metric for some task, I gave a list of possible metrics. He seemed unsatisfied, and eventually I figured out that he want me to settle on one very specific and very detailed defined metric. But he didn't express it very clearly at the first place and didn't bother to make it clearer later.
Plus he didn't even listen to my answer carefully. Several times he questioned my answer, but actually I already answered his question in my previous answer.
The even more strange thing is that for a very simple detail, I have to explain to him several times until he "hear" me clearly and finally know what I said.
And no English is not my native language, but I have no trouble communicate with my professors, classmates, and other people? My advisor even told me that my spoken English is good.
I think is interview definitely biased and shouldn't belong to a company like Meta