I applied through a recruiter. The process took 2 weeks. I interviewed at LinkedIn (San Francisco, CA) in Mar 2019
Interview
I spoke with a recruiter, followed by a technical phone screening. The questions were SQL and R data manipulation problems, both pretty easy. I have terrible test-taking anxiety (always have) and explained that calmly and clearly. Still finished the problems in time allotted and maintained a positive, enthusiastic, non-defensive attitude. Saying that because I didn’t pass the screening by 0.1 point. The feedback was “you seemed really nervous”, said with clear judgment and disgust. They mentioned small syntax errors, but I corrected those and that happens in normal development, even by the most senior at my company. I currently work as a Data Scientist and have an MA in statistics so there is no way i’m not technically capable to advance in the interview process. I believe I was discriminated against based on my mental health (anxiety). I will never interview at LinkedIn or consider employment there again.
Interview questions [1]
Question 1
SQL and R data manipulatjon questions. Easily answered using tidyverse functions and SQL case statements, subquerying, COUNT DISTINCT, and filtering in WHERE clause.
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.
Interview questions [1]
Question 1
Experiment design question related to Simpson paradox
What are some ways to deal with class imbalance? pros and cons for each
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.
I applied online. The process took 3 weeks. I interviewed at LinkedIn in Mar 2022
Interview
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.
Interview questions [1]
Question 1
Stats/Prob+Linear regression+data story telling+A/B Testing+SQL/Python+Problem Solving case
Senior Data Scientist applicants have rated the interview process at LinkedIn with 2.9 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 53% positive. To compare, the company-average is 54.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Senior Data Scientist roles take an average of 30 days to get hired, when considering 17 user submitted interviews for this role. To compare, the hiring process at LinkedIn overall takes an average of 28 days.
Common stages of the interview process at LinkedIn as a Senior Data Scientist according to 17 Glassdoor interviews include:
Phone interview: 39%
One on one interview: 24%
Presentation: 15%
Group panel interview: 9%
Skills test: 6%
IQ intelligence test: 3%
Personality test: 3%
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