Data Scientist I applicants have rated the interview process at Google with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 66.4% positive. This is according to Glassdoor user ratings.
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I applied through a recruiter. The process took 4 weeks. I interviewed at Google (New York, NY) in Aug 2024
Interview
i have give the interview physically on the office . they asked me about data science and it related very difficult and challenging question. i heard about this website which may help more easy to defense on interview physically.
I applied through an employee referral. I interviewed at Google (London, England) in Jul 2025
Interview
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.
Interview questions [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?
I applied in-person. The process took 1 day. I interviewed at Google (Mumbai) in Jun 2025
Interview
ai ml, statistics, physics, derivation and integration math solving question along with knowledge about the industry standards and what's the decision making ability and logical reasoning- how well can you implement your theoretical knowledge practically in the industry
Interview questions [1]
Question 1
tell me about yourself and what makes you suitable for this role