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.
Questions d'entretien [1]
Question 1
Questions included technical statistics questions related to UX research
J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez GitHub en déc. 2021
Entretien
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.
Questions d'entretien [1]
Question 1
A series of SQL questions that required knowledge of select statements, joins, grouping, and ordering.
J'ai postulé en ligne. J'ai passé un entretien chez GitHub (San Francisco, CA) en avr. 2017
Entretien
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.
Questions d'entretien [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.
