Company Focus

Uber Interview Problems (48)

Problems reported from Uber data science interviews

Status	Title	Difficulty	Language	Company	Topic
	Model Deployment with Containers Pro	Medium	Conceptual	Uber DoorDash	practical-experience
	RANK and DENSE_RANK Comparison Pro	Medium	SQL	Uber Stripe Two Sigma	window-functions
	Recursion vs Iteration Pro	Medium	Conceptual	Uber Airbnb	computer-science
	ROW_NUMBER for Pagination Pro	Medium	SQL	Amazon Uber Airbnb	window-functions
	Search in Rotated Sorted Array Pro	Medium	Python	Amazon Uber Google	sorting
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	Self Join to Find Employee Pairs in Same Department Pro	Medium	SQL	Airbnb Uber LinkedIn	joins
	SQL vs NoSQL Trade-offs Pro	Medium	Conceptual	Uber Meta	computer-science
	Statistical Power Pro	Medium	Conceptual	Airbnb Netflix Uber	statistics
	Unmatched Records: Orders Without Customers Pro	Medium	SQL	Stripe Airbnb Uber	joins
	Weekday vs Weekend Orders Pro	Medium	SQL	Uber DoorDash Instacart	date-functions
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	Attribution Modeling Pro	Hard	Conceptual	Google Meta Uber	business-skills
	Concurrency: Race Conditions Pro	Hard	Conceptual	Uber Meta	computer-science
	Hierarchical Self Join for Org Chart Pro	Hard	SQL	Airbnb LinkedIn Uber	joins
	Join with Aggregation and Filtering Pro	Hard	SQL	LinkedIn Uber Stripe	joins
	LAG and LEAD for Sequential Comparison Pro	Hard	SQL	Two Sigma Uber Amazon	window-functions
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	Merge K Sorted Lists Pro	Hard	Python	Google Amazon Uber	sorting
	Moving Average with Window Frame Pro	Hard	SQL	Amazon Two Sigma Uber	window-functions
	North Star Metric Selection Pro	Hard	Conceptual	Uber Airbnb DoorDash	business-skills
	PERCENT_RANK for Distribution Analysis Pro	Hard	SQL	Two Sigma Amazon Uber	window-functions
	Permutation Test Mechanics Pro	Hard	Conceptual	Netflix Uber Airbnb	statistics
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	Time Series Resample Pro	Hard	Python	Uber Netflix Spotify	pandas
	Top Earning Product in Each Category Using Subquery Pro	Hard	SQL	Amazon Walmart Uber	subqueries
	Windowed Aggregation Pro	Hard	Python	Airbnb DoorDash Uber	pandas

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