Square Data Scientist Interview Questions
The questions to prepare for a Square Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Compute daily distinct active users and a 7-day rolling average using a CTE and window function.
SquareCalculate Square merchant retention month over month by originating marketing channel using monthly activity aggregation.
SquareRank players by points per game within each team and calculate their team percentile.
Oklahoma City ThunderAn experiment increases conversion but lowers retention; assess whether the trade-off is real and whether the change should ship.
SquareInvestigate sample ratio mismatch and decide whether an experiment readout is trustworthy enough to ship.
SquareSign up to see every question
Create a free account to unlock this list and practice real interview questions.
Tests probability modeling and simulation-based reasoning in Python.
SquareBuild a churn model that flags at-risk customers early using behavioral, billing, and support signals.
SquareDiagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.
SquareTests NLP preprocessing, normalization, and practical data cleaning for transaction classification.
SquareTests product sense and metric design tied to user outcomes for Square’s crypto feature.
Square