Google Data Scientist I interview questions

📊 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?