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4,310 interview questions, answered.

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65 questions

  1. 1Airbnb checkout nudge: the full A/B designData· Airbnb
  2. 2Bagging vs boosting vs Random ForestData· Amazon
  3. 3BiLSTM vs TransformerMediumData· Amazon
  4. 4Dimensionality reduction methodsData· Amazon
  5. 5Handling imbalanced dataData· Amazon
  6. 6Netflix homepage experiment with conflicting metricsData· Netflix
  7. 7RAG vs fine-tuningMediumData· APAI PM/DS interview prep
  8. 8Transformer vs gradient-boosted trees on tabular dataData· AAAmazon AS depth
  9. 91M users drop off at 6 monthsMediumData· Netflix
  10. 10Bias-variance trade-offData· Amazon
  11. 11Causal inference without randomizationData· Airbnb
  12. 12Company vs client interests misalignedData· Amazon
  13. 13Compute the lift, SE and CI: ship or not?Data· Airbnb
  14. 14Cumulative weekly retention (SQL)MediumData· Pinterest
  15. 15Delivered something customers didn't know they neededHardData· Amazon
  16. 16Design and evaluate a book recommenderData· Amazon
  17. 17Design and evaluate an A/B testData· Amazon
  18. 18Disagreeing with your managerData· Netflix
  19. 19Driver fraud: SQL plus modeling pipelineData· Uber
  20. 20Investigate a 15% CTR dropHardData· Netflix
  21. 21Know your own project inside-outMediumData· Duolingo
  22. 22Measure engagement for a productivity appMediumData· Netflix
  23. 23Missing a long-term commitment (Ownership)Data· Amazon
  24. 24Outside-the-box simplification (Invent & Simplify)Data· Amazon