J'ai postulé via la recommandation d'un employé. J'ai passé un entretien chez Google (Londres, Angleterre) en juil. 2025
Entretien
The Google Product Analyst interview process includes two rounds with five interviews:
four technical (coding, applied analytics, experiments, modeling) and one non-technical (Googleyness & leadership), emphasizing stats, problem-solving, and communication clarity.
Questions d'entretien [1]
Question 1
📊 1. Product Metrics & Measurement
Q1. What success metrics would you track for Google Meet to evaluate its performance?
🔍 2. Diagnostic & Analytical Thinking
Q2. Let’s say adoption of Google Chat is low. How would you investigate the cause?
🤖 3. Machine Learning Metrics (Non-Technical)
Q3. Explain Precision and Recall in simple terms to someone non-technical.
📈 4. Regression & Multicollinearity
Q4. What is multicollinearity in linear regression?
Q5. How would you measure the degree of multicollinearity in a regression model?
Q6. How does multicollinearity affect prediction accuracy vs. the reliability of model weights?
It was all good, the interviewer was very nice. Technical questions were a bit challenging but overall it was good. The hiring manager was looking for some hands on experience
J'ai postulé en ligne. J'ai passé un entretien chez Google
Entretien
Back to back interview.
[1]. Mainly ask ML concepts, e.g., how to develop a classifer for youtube video; they will also ask some statistical concepts
[2] Coding for both python and sql
J'ai passé un entretien chez Google (Mountain View, CA)
Entretien
Applied at PhD level so I had two back to back technical interviews. One all stats concepts and the other talking over a hypothetical experiment design and walking through my thought process.
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