Company Focus
Netflix Interview Problems (42)
Problems reported from Netflix data science interviews
| Status | Title | Difficulty | |||
|---|---|---|---|---|---|
| Statistical Power Pro | Medium | ||||
| Beta Distribution Applications Pro | Hard | ||||
| Bonferroni Correction and Multiple Testing Pro | Hard | ||||
| CASE WHEN for Dynamic Sorting and Bucketing Pro | Hard | ||||
| Cohort Retention Rate With CTEs Pro | Hard | ||||
| Unlock all 42+ problems | |||||
| Collaborative Filtering Cold Start Pro | Hard | ||||
| Experiment Design for ML Pro | Hard | ||||
| Grouping with Rollup-style Totals Pro | Hard | ||||
| K-Nearest Neighbors Pro | Hard | ||||
| Log Loss as Evaluation Metric Pro | Hard | ||||
| Unlock all 42+ problems | |||||
| Month-Over-Month Revenue Change Pro | Hard | ||||
| Multi-Step Funnel Analysis With CTEs Pro | Hard | ||||
| Permutation Test Mechanics Pro | Hard | ||||
| Running Total of Order Amounts Per Customer Pro | Hard | ||||
| Survival Analysis Censoring Pro | Hard | ||||
| Unlock all 42+ problems | |||||
| Time Series Resample Pro | Hard | ||||
| Top Spending Customer Per Product Category Pro | Hard | ||||