J'ai postulé en ligne. J'ai passé un entretien chez LinkedIn
Entretien
This is a review ONLY for the data science team. Other teams in LinkedIn seemed great!
Two phone screens + Onsite Interview
Coding + Metrics + A/B testing + Product Insight
Overall, interview was very easy. Lowball offer.
'Bait and Switch' interview - offered me a position that I won't of even applied for and pretended like I applied for it all along. Shocked that LinkedIn, as a recruiting company, would allow such an deceptive, unethically practice.
Hiring manger are unprofessional. He lied to me multiple times during the interview (fyi all that information is available on glassdoor, LinkedIn website), demanded to speak with me at random times and displayed clear ethnic favoritism. Basically, I would completely avoid unless you share the same ethnicity as the hiring manager or are in desperate need of a job. No one really seemed to know much about product analytics. It was a pretty disappointing experience. Overall, just a complete waste of time and the interview process is long (takes months).
One of the employees even shared with me during the interview that this hiring manager rarely ever approves any vacation during the first year. Overall, that sums up how I felt about the team: EXPLOITATIVE AND UNETHICAL!
Questions d'entretien [1]
Question 1
Simple stats/A/B testing. One more complex coding question.
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