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Updated weekly · Last refresh Aug 30

Booking Data Scientist Interview Questions

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

37questions
~5htotal time
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1
MetricsStart here. 4 questions · ~32 min
Measure Marketing Campaign SuccessEasy

Define campaign success using business KPIs, funnel conversion, acquisition cost, and leading indicators tied to outcomes.

Funnel AnalysisKPIsLeading IndicatorsBooking
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2
Machine Learning3 questions · ~24 min
Build a Customer Churn ModelHard

Build a churn prediction model for a subscription wellness business using behavioral, billing, and engagement data.

Cross-ValidationFeature EngineeringSupervised LearningBooking
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3
Statistics & Probability3 questions · ~24 min
Evaluating Observed Lift SignificanceMedium

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesBooking
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4
A/B Testing & Experimentation3 questions · ~24 min
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchBooking
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5
Product Sense5 questions · ~41 min
Why Booking Attracted YouEasy

Tests motivation and fit with Booking's mission and working style.

User NeedsValue PropositionProduct VisionBooking
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6
Behavioral & Leadership14 questions · ~114 min
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7
More topics5 questions · ~41 min
Cloud Platform Experience for PipelinesMedium

Describe practical experience building pipelines on AWS, including orchestration, security, and data quality.

InfrastructureETLData ModelingBooking
Handling Missing DataHard

Tests data quality handling and correct treatment of missingness.

Window FunctionsData WranglingCTEsBooking
Choosing Between Multiple ModelsMedium

Tests model selection, evaluation criteria, and trade-off reasoning.

Cross-ValidationPrecisionAccuracyBooking
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Daily Session Funnel Conversion RatesHard
Practice
Practice drill

Calculate daily session-level funnel conversion rates using CTEs, CASE WHEN, and date functions.

User NeedsData WranglingAggregations
Find Fulfillment Bottlenecks from TimestampsHard
Practice
Practice drill

Use LAG and window functions to identify the slowest stage in the fulfillment chain.

Window FunctionsData WranglingRunning TotalsInstacart
30-Day Moving Average of BookingsMedium
Practice
Practice drill

Build a daily series and compute a 30-day trailing moving average of task bookings using window functions.

Window FunctionsData WranglingAggregationsTaskRabbitRBC
The finish line: interview-readyComplete all 37 questions plus 3 hands-on drills to finish this plan.