Join users and rides to find rolling 7-day average

Last updated: November 15, 2025

Quick Overview

Write a query joining users and rides to produce the combined rolling 7-day average.

Scale AI
Data Manipulation (SQL/Python)
Data Scientist
Scale AI
November 15, 2025
Data Scientist
Technical Screen
Data Manipulation (SQL/Python)
Easy

17

12

2,484 solved


Write a query joining users and rides to produce the combined rolling 7-day average.

This question from Scale AI's Technical Screen tests practical data skills. The interviewer wants to see clean, efficient queries that handle edge cases like NULLs, duplicates, and large datasets.

What the Interviewer Expects
  • Write syntactically correct SQL with proper JOIN and WHERE clauses
  • Use GROUP BY and aggregate functions appropriately
  • Handle NULL values correctly in your queries
  • Explain the query execution plan at a high level
Key Topics to Cover
NULL handling and COALESCE
Pandas vectorized operations and groupby
Common Table Expressions (CTEs)
Data cleaning and transformation
Date/time manipulation
How to Approach This
  1. Clarify the schema and expected output format before writing queries.
  2. Use CTEs (WITH clauses) to break complex queries into readable steps.
  3. Consider window functions (ROW_NUMBER, RANK, LAG, LEAD) for ranking and sequential analysis.
  4. Watch for NULLs, duplicates, and edge cases in JOINs and GROUP BY.
  5. For pandas, prefer vectorized operations over row-by-row iteration.
Possible Follow-up Questions
  • Can you rewrite this without using subqueries?
  • What would you do if this query needs to run every 5 minutes?
  • How would you handle this if the data was spread across multiple databases?
  • How would you handle slowly changing dimensions in this scenario?
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