J'ai postulé en personne. Le processus a pris 5 jours. J'ai passé un entretien chez LinkedIn (New York, NY) en sept. 2019
Entretien
You need to understand that a data scientist role in companies like LinkedIn or Facebook has nothing to do with data science in a way you imagine it. You will not be building models, you won't be training models, you won't be updating models. Most likely, you won't be even doing A/B tests. All you need to know is SQL and how to do self joins. In the industry, once a company sees that you're a data scientist at LI or FB (not a researcher), it immediately understands that you don't possess any required skills to be a "real" data scientist. If you want to be a data monkey with a good pay but without a single chance to move to a real DS role, go for it.
Questions d'entretien [1]
Question 1
Walk through the resume; what is one feature you want to have added; how will you assess the success of this feature
Tech part: exactly the same SQL questions like in Facebook's interviews (left join, self join) but then was asked to rewrite everything in Python
J'ai postulé en ligne. J'ai passé un entretien chez LinkedIn
Entretien
I applied online, got contacted for a 30-min HR screen call, then proceeded to a 1-hour Technical screen round. All the interviewers are very nice and professional. I did not pass the Technical round, because the role has much higher technical requirements than my skillsets. Technical screen includes 50% Python coding a Leetcode medium problem, 25% stats/experiment questions, 25% general ML questions. HR followed up with results in a personalized email and encouraged to reapply in the future.
Questions d'entretien [1]
Question 1
Experiment design question related to Simpson paradox
What are some ways to deal with class imbalance? pros and cons for each
J'ai passé un entretien chez LinkedIn (San Jose, CA)
Entretien
Very clear and straight forward, but maybe a bit too broad. Would be better to be more focused on the area of expertise. Coding questions don't really make much sense for data scientists anymore, basic level yes but not hard coding questions.
J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez LinkedIn en mars 2022
Entretien
Phone screen + Onsite
Onsite has 5 rounds
HM
SQL + PYTHON
Data storytelling
Math
Case (Problem Solving + A/B testing)
The interview process going fluently and all interviewers show their professional. They are giving you positive feedbacks while your interviewing and encourage you to think more broadly. I feel they even want me to be in the company more than myself.
Didn't pass data storytelling round, all other rounds has a strong yes.
Questions d'entretien [1]
Question 1
Stats/Prob+Linear regression+data story telling+A/B Testing+SQL/Python+Problem Solving case
