Data Scientist Intern 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 86% positive. To compare, the company-average is 54.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist Intern roles take an average of 7 days to get hired, when considering 7 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 Data Scientist Intern according to 7 Glassdoor interviews include:
Phone interview: 38%
Skills test: 25%
One on one interview: 13%
Group panel interview: 13%
IQ intelligence test: 13%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 1 week. I interviewed at LinkedIn in Feb 2013
Interview
The process was super-fast, they contacted me a week after I submit my resume online. I was contacted by a research scientist at data analytics group and after he talked about my research a bit, he asked me some machine learning background questions like SVM algorithm and kernels. Then he approached to programming questions, like how you write a code to store a large matrix. The programming part was easy but you need to refresh your machine learning background a little bit.
Interview questions [1]
Question 1
Describe 3 kernel functions and when to use which of them.
I applied online. I interviewed at LinkedIn in Oct 2022
Interview
1. Phone interview - mostly behavioral + a quick technical question to see if you understand the linkedIn product well 2. Final rounds (3 rounds back-to-back): 1 is behavioral, 1 is SQL (2 questions about medium level), and 1 product/metric interview + statistics questions
Interview questions [1]
Question 1
How can you improve the linkedIn feed? Doing rank functions in SQL
Start with a recruiter screening, then 3 back to back interviews including 2 SQL interviews and 1 behavioral. SQL questions are easy-to-medium hackerrank problems. Behavioral: tell us about a project you've done in the past, what were the challenges and how you handled.
Interview questions [1]
Question 1
tell us about a project you've done in the past, what were the challenges and how you handled.
The phone screening was behavioral mostly with 1 technical question. They just want to see passion and enthusiasm. Then there is 2 technical interviews in SQL Python or R and 1 non technical interview with a hiring manager