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Cushman & Wakefield Data Scientist Interview Questions

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

35questions
~5htotal time
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1
Machine LearningStart here. 10 questions · ~85 min
Describe an ML Project End to EndMedium

Explain a machine learning project you led, from problem framing through model evaluation and deployment.

Cross-ValidationFeature EngineeringSupervised LearningCushman & Wakefield
Feature Selection in High DimensionsMedium

Select and interpret features in high-dimensional system data without being misled by noise, redundancy, or correlated variables.

Cross-ValidationFeature EngineeringRegularizationCushman & Wakefield
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2
A/B Testing & Experimentation3 questions · ~25 min
Design a Feature-Concept A/B StudyHard

Design an A/B test to compare two feature concepts, including hypothesis, metrics, power, and a pre-registered decision rule.

ExperimentationGuardrail MetricsA/B TestingCushman & Wakefield
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3
Model Evaluation3 questions · ~25 min
Evaluating Imbalanced Classification ModelsMedium

Explain how to evaluate a classifier on imbalanced data, with focus on metrics that are more informative than accuracy.

F1 ScorePrecisionRecallCushman & Wakefield
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4
Metrics4 questions · ~34 min
Diagnose a Performance DropHard

Investigate whether a performance decline is seasonal or a real product issue.

Leading IndicatorsDiagnosisTime SeriesCushman & Wakefield
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5
Product Sense3 questions · ~25 min
Prioritizing Rent Prediction FeaturesMedium

Evaluates feature prioritization for rent prediction in client-facing real estate models.

Feature Prioritizationclient needsCushman & Wakefield
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6
Behavioral & Leadership8 questions · ~68 min
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7
More topics4 questions · ~34 min
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceCushman & Wakefield
Aggregating Across Multiple TablesMedium

Tests your ability to write correct SQL joins and aggregations for reliable analytics datasets.

JoinssqlAggregationsCushman & Wakefield
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
SQL Window Functions ExperienceMedium
Practice
Practice drill

Use SQL window functions to rank regions by average 2024 yield within each country.

Window FunctionsJoinsData ManipulationErnst & YoungKBRMaximus Tech
SQL Window Functions for Campaign RankingMedium
Practice
Practice drill

Rank campaigns by advertiser performance and calculate campaign-level running conversions over time with PostgreSQL window functions.

Window FunctionsJoinsData ManipulationStackadaptLiveRampAmazon Advertising
The finish line: interview-readyComplete all 35 questions plus 2 hands-on drills to finish this plan.