On-site interview at their London office. Had 3 interviews in total, 2 of them were video conferences. Each was 45 minutes. Everyone was very nice. They tried to gauge how much you know and if you don't know a particular area, they'll ask something easier. So it's hard to say how much I could have done more to land the job.
Preguntas de entrevista [1]
Pregunta 1
Ask about GLM, how to deal with large number of variables, economic experiments
- 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.
Solicité el puesto a través de la recomendación de un empleado. El proceso duró 2 meses. Acudí a una entrevista en Google (Seattle, WA) en ago 2021
Entrevista
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
Preguntas de entrevista [1]
Pregunta 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.
