Top 45
Prep plan
Updated weekly · Last refresh Oct 17

Squarespace Data Scientist Interview Questions

The questions to prepare for a Squarespace Data Scientist interview. Questions from real interview reports rank first. Updated daily.

45questions
~7htotal time
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1
SQL & Data ManipulationStart here. 9 questions · ~82 min
Monthly Active User Growth by PlatformMedium
Practice

Use joins, CTEs, and monthly aggregation to compute Google Maps active users and month-over-month growth.

Window FunctionsDate FunctionsAggregationsSquarespace
Weekly Signup Cohort RetentionHard
Practice

Calculate weekly retention by signup cohort using CTEs, joins, date truncation, and distinct user counts.

Window FunctionsDate FunctionsAggregationsSquarespace
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2
A/B Testing & Experimentation5 questions · ~46 min
Shipping a Small-Lift ExperimentMedium

Explain when a statistically small experiment lift is still worth shipping by tying effect size to scale, guardrails, and decision thresholds.

Trade-offsA/B TestingSquarespace
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3
Machine Learning4 questions · ~37 min
Handling Imbalance in Churn ModelsMedium

Explain how to train and evaluate a churn model when churn is rare and standard accuracy is misleading.

Bias-Variance TradeoffModel EvaluationSupervised LearningSquarespace
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4
Metrics6 questions · ~55 min
Diagnose Website Conversion Rate DropMedium

Diagnose why website conversion rate fell from 3.8% to 2.9% and break down the likely drivers across the funnel.

Funnel AnalysisConversion RateDiagnosisSquarespace
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5
Statistics & Probability5 questions · ~46 min
Testing a Conversion Rate DropMedium

Explain how to test whether an observed 5% conversion rate drop is statistically significant in an experiment or before-after comparison.

Hypothesis TestingData AnalysisStatistical SignificanceSquarespace
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6
Product Sense6 questions · ~55 min
International Expansion StrategyMedium

Tests product sense for international growth strategy at Squarespace.

business strategySquarespace
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7
More topics10 questions · ~92 min
Validate Under Changing BehaviorHard

Tests ability to handle dataset shift, drift, and robust evaluation strategies.

Cross-ValidationEvaluation TechniquesTime SeriesSquarespace
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The finish line: interview-readyComplete all 45 questions to finish this plan.