J'ai postulé via la recommandation d'un employé. Le processus a pris 4 semaines. J'ai passé un entretien chez Google (Mountain View, CA) en janv. 2014
Entretien
Internal referred followed by two round of phone interviews. Both interviews focuses on technical questions. The first interview has lots of questions on the fundamental statistics models, such as regression models, experimental design. The questions are like typical exam problems, but requires quick instant responses. The second interview also fucused on statistical questions, but were asked in a practical context. The interviewer described several projects with me, and for each project he asked questions about how you would like to plan the project, what models would you use, what were the alternative choice you have, reasons you picked that model, etc.
Questions d'entretien [1]
Question 1
If you will propose a project in the quantitative marketing team, what will you propose and how will you plan the project?
- Asked foundational questions about key definitions and terminology to assess baseline understanding of core concepts
- Completed a timed online coding assessment covering practical programming challenges and problem-solving ability
30 minute phone screen with HR, followed by an interview with the hiring manager. HR would not even provide a salary range for the role, which was very weird. The HR rep was not familiar with the role and seemed to be reading from the JD when I asked questions about it.
J'ai postulé via la recommandation d'un employé. Le processus a pris 2 mois. J'ai passé un entretien chez Google (Seattle, WA) en août 2021
Entretien
Recruiter screen > tech screen > 5 tech sessions at remote "onsite"
Tech screen: all statistics written in easy python
On-site: python for SQL-style queries, one session focused on stats/probability, majority of sessions had some probability in it, some question were extremely open ended, hierarchical statistical models, optimization and creating penalty functions, bootstrapping, small sample statistics
Questions d'entretien [1]
Question 1
you are given a discrete probability distribution of children, what is the probability a random women you meet on the street has a sister?
Two variables x1 and x2. They are correlated but aren't the same. X3 = X1-X2 and X4 = X1+X2. What are the coefficients for x1 and x2 if you train logit for x3 and x4
1000 ad videos, 1000 human raters
Assess the quality of videos, 100 randomly selected videos to each rater, Rate video between 1 (bad) and 10 (good) quality. How would you rate these? What are the pros and cons of your strategy?
clustered statistical modeling question about how you would set data up for this model and what model you would use.