Company Focus
DoorDash Interview Problems (21)
Problems reported from DoorDash data science interviews
| Status | Title | Difficulty | |||
|---|---|---|---|---|---|
| Count Orders Per Customer Free | Easy | ||||
| Extract Year and Month from Date Pro | Easy | ||||
| Filter with LIKE Pattern Free | Easy | ||||
| Group By and Aggregate Pro | Easy | ||||
| Silhouette Score Interpretation Pro | Easy | ||||
| Unlock all 21+ problems | |||||
| String Length and Substring Pro | Easy | ||||
| Sum and Average by Category Pro | Easy | ||||
| Survey Design Principles Pro | Easy | ||||
| Apply Transform to Column Pro | Medium | ||||
| Choosing Business Metrics Pro | Medium | ||||
| Unlock all 21+ problems | |||||
| Date Difference for Age Calculation Pro | Medium | ||||
| Experiment Design for Feature Launch Pro | Medium | ||||
| Group by Day of Week Pro | Medium | ||||
| Group By with HAVING on MIN/MAX Pro | Medium | ||||
| Market Basket Analysis Pro | Medium | ||||
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| Model Deployment with Containers Pro | Medium | ||||
| Multiple Aggregations with HAVING Pro | Medium | ||||
| String Aggregation and Grouping Pro | Medium | ||||
| Grouping with Rollup-style Totals Pro | Hard | ||||
| North Star Metric Selection Pro | Hard | ||||
| Unlock all 21+ problems | |||||
| Windowed Aggregation Pro | Hard | ||||