Envié una solicitud electrónica. El proceso duró 1 día. Acudí a una entrevista en Google en oct 2015
Entrevista
I applied on line and got a response via email from the recruiter the next day and arranged a phone screen afterwards. I was asked about my background, my previous working experience and my expectation for this position. The recruiter was very polite and nice. He sent my resume to the HR manager and has arranged a phone technical interview next week. Wish myself luck...
Preguntas de entrevista [1]
Pregunta 1
Please tell me what you have done previously related to quantitative analysis?
- 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.
