Meta Data Scientist Mock Interview - Call Suggestion on Portal | Product Metrics + AB Testing

🚀Land your dream data job using https://datainterview.com/. ====== ✅ Details ====== 🤔 Try these Meta's product-sense interview questions: "Q1 - How would you measure engagement on Meta's Portal device?" "Q2 - How would you prioritize the metrics you listed in Q1?" "Q3 - How would you design an AB experiment to test a 'Call Suggestion' feature?" Here's a mock interview based on Meta's technical phone screen with a product sense. The interviewer was a data scientist at Google and PayPal, and the candidate is preparing for product data science roles at FAANG companies. Watch the mock interview to prepare for your own product data science interview. Make sure to check out https://datainterview.com/ for more content! 👍 Make sure to subscribe, like and share! ====== ⏱️ Timestamps ====== 0:00 Intro 01:55 Measure engagement on Portal 10:55 Prioritize metrics 18:19 AB testing on the 'Call Suggestion' feature 29:40 Solution + Feedback ====== 📚 Other Useful Contents ====== 1. Principles and Frameworks of Product Metrics | YouTube Case Study Link: https://medium.com/datainterview/principles-and-frameworks-of-product-metrics-youtube-case-study-ff63257a82d3 2. How to Crack the Data Scientist Case Interview Link: https://medium.com/datainterview/crack-the-data-scientist-case-interview-by-an-ex-google-data-scientist-f44da750cffe 3. How to Crack the Amazon Data Scientist Interview Link: https://medium.com/datainterview/crack-the-amazon-data-scientist-interviews-ex-faang-data-scientist-78189a5a689e ====== Connect ====== 📗 LinkedIn - https://www.linkedin.com/in/danleedata/ 📘 Medium - https://medium.com/datainterview