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Airbnb Interview Problems (48)

Problems reported from Airbnb data science interviews

Status	Title	Difficulty	Language	Company	Topic
	Merge Datasets Pro	Medium	Python	Uber Airbnb	pandas
	Random Forest vs Single Decision Tree Pro	Medium	Conceptual	Amazon Capital One Airbnb	machine-learning
	Rank Employees by Hire Date Within Department Pro	Medium	SQL	Google Meta Airbnb	window-functions
	Recursion vs Iteration Pro	Medium	Conceptual	Uber Airbnb	computer-science
	ROW_NUMBER for Pagination Pro	Medium	SQL	Amazon Uber Airbnb	window-functions
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	Self Join to Find Employee Pairs in Same Department Pro	Medium	SQL	Airbnb Uber LinkedIn	joins
	Statistical Power Pro	Medium	Conceptual	Airbnb Netflix Uber	statistics
	Top N Per Group with ROW_NUMBER Pro	Medium	SQL	Amazon Airbnb Stripe	window-functions
	Unmatched Records: Orders Without Customers Pro	Medium	SQL	Stripe Airbnb Uber	joins
	Bootstrapping Method Pro	Hard	Conceptual	Airbnb Meta Google	statistics
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	Cohort Retention Rate With CTEs Pro	Hard	SQL	Netflix Spotify Airbnb	ctes
	Cumulative Sum Window Pro	Hard	SQL	Airbnb Stripe Two Sigma	window-functions
	Hierarchical Self Join for Org Chart Pro	Hard	SQL	Airbnb LinkedIn Uber	joins
	Latest Order Per Customer Using Join and Subquery Pro	Hard	SQL	Amazon Stripe Airbnb	joins
	Log Loss as Evaluation Metric Pro	Hard	Conceptual	Airbnb Netflix Lyft	machine-learning
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	Month-Over-Month Revenue Change Pro	Hard	SQL	Netflix Spotify Airbnb	window-functions
	Multi-Step Funnel Analysis With CTEs Pro	Hard	SQL	Meta Airbnb Netflix	ctes
	North Star Metric Selection Pro	Hard	Conceptual	Uber Airbnb DoorDash	business-skills
	NTILE for Quartile Bucketing Pro	Hard	SQL	Stripe Airbnb Two Sigma	window-functions
	Permutation Test Mechanics Pro	Hard	Conceptual	Netflix Uber Airbnb	statistics
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	REST API Design Principles Pro	Hard	Conceptual	Stripe Airbnb	computer-science
	Running Total of Order Amounts Per Customer Pro	Hard	SQL	Stripe Airbnb Netflix	joins
	Windowed Aggregation Pro	Hard	Python	Airbnb DoorDash Uber	pandas

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