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Prep plan
Updated weekly · Last refresh Oct 17

Booking Data Scientist Interview Questions

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

36questions
~5htotal time
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1
Machine LearningStart here. 3 questions · ~26 min
Build a Customer Churn ModelHard
Recently asked

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

Cross-ValidationFeature EngineeringSupervised LearningBooking
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2
Statistics & Probability3 questions · ~26 min
Evaluating Observed Lift SignificanceMedium
Recently asked

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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3
Metrics4 questions · ~34 min
Using Dashboards to Read KPIsEasy
Recently asked

Explain how visualization tools help analysts track KPIs, spot patterns, and support decisions.

KPIsData WranglingDiagnosisBooking
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4
A/B Testing & Experimentation3 questions · ~26 min
Common Pitfalls in Experiment ResultsHard
Recently asked

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 Sense4 questions · ~34 min
Choosing the Better Travel OfferMedium
Recently asked

Decide whether Booking.com should promote flight tickets by comparing user value, business impact, and trade-offs.

Decision Makingfeature evaluationbusiness strategyBooking
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6
Behavioral & Leadership14 questions · ~120 min
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7
More topics5 questions · ~43 min
Handling Missing DataMedium
Practice
Recently asked

Standardize missing observation fields with fallback values, missingness flags, and ordered output.

Window Functionsmissing valuesdata cleaningBooking
Cloud Platform Experience for PipelinesMedium
Recently asked

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

InfrastructureETLData ModelingBooking
Choosing Between Multiple ModelsMedium
Recently asked

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. 2 drills · ~20 min
Reproducible Analysis for ReviewMedium
Practice
Practice drill

Identify the latest reproducible analysis runs and summarize their review history with PostgreSQL joins, aggregation, and a CTE.

Data WranglingCTEsdata validationHelloFreshBooking
Sequential Behavior with Window FunctionsHard
Practice
Practice drill

Use four window functions to order user events, identify ties, and compare each event with adjacent behavior.

Window FunctionsLag/LeadData ManipulationBooking
The finish line: interview-readyComplete all 36 questions plus 2 hands-on drills to finish this plan.