There was a screen, then a take-home challenge, and then a full day of in-person interviews (this was pre-pandemic). I met with a number of employees at the San Francisco offices.
Interview questions [1]
Question 1
Questions included technical statistics questions related to UX research
I applied online. The process took 3 weeks. I interviewed at GitHub in Dec 2021
Interview
So far: Hiring Manager interview, HR Recruiter Interview, SQL Interview, Technical Presentation Interview, Technical Case Study Interview.
If I am pushed forward to the next round of interviews it will be 1 more call with the hiring manager and then a call with the Director.
Update: After two weeks of silence, I finally got an email from someone I had never heard from at Github telling me the hiring team has decided not to move forward with me, no feedback would be given, and if I want to apply again I can only do so after 6 months. After this much time invested I expected some hint as to why I was not good enough for these people. I've literally wasted 6 weeks engaging in and prepping for these interviews.
Interview questions [1]
Question 1
A series of SQL questions that required knowledge of select statements, joins, grouping, and ordering.
I applied online. I interviewed at GitHub (San Francisco, CA) in Apr 2017
Interview
Typical interview process for a data scientist position. A short mini data challenge, then an on-site with several product managers, data scientists, and engineers. There was also a session specifically with HR about diversity/inclusion. Many questions were scripted and came from a list, so it seemed pretty impersonal in my opinion.
Interview questions [1]
Question 1
Asked lots of questions about past work experience and habits, culture, goals, collaboration. Questions around product, metrics, A/B Testing, communicating results to non-technical coworkers. Also a couple of SQL questions.
