Foursquare Data Scientist Interview Questions
The questions to prepare for a Foursquare Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
FoursquareRank campaigns by advertiser performance and calculate campaign-level running conversions over time with PostgreSQL window functions.
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Amazon AdvertisingExplain why a statistically significant experiment result may still be too small to matter for product or business decisions.
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Explain practical ways to train and evaluate a classifier when the target classes are highly imbalanced.
FoursquareDetermine sample size and power for a customer survey or experiment, including MDE, guardrails, and a disciplined decision rule.
FoursquareEvaluates your ability to design scalable data processing and reason about performance tradeoffs.
FoursquareDiagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.
FoursquareTests product sense and translating user value into measurable outcomes.
FoursquareTests system design and modeling of location intent from noisy signals.
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