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Updated weekly · Last refresh Aug 30

Anz Data Scientist Interview Questions

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

32questions
~4htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~54 min
2
A/B Testing & Experimentation4 questions · ~34 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 MismatchAnz
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3
Machine Learning6 questions · ~50 min
Prevent Overfitting in ML ModelsEasy

Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationAnz
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4
Metrics3 questions · ~25 min
Diagnose Conversion Drop Post LaunchMedium

Diagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.

Funnel AnalysisConversion RateDiagnosisAnz
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5
Behavioral & Leadership6 questions · ~50 min
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6
More topics9 questions · ~75 min
Choosing Classification Evaluation MetricsEasy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallAnz
Prioritize With Limited ResourcesMedium

Framework for deciding what to build first when resources are constrained and trade-offs are unavoidable.

Feature PrioritizationUser NeedsMVPAnz
Preprocess Data with PythonMedium

Assesses practical data preparation skills and attention to data quality.

Data WranglingETLQualityAnz
NLP Algorithms and Use CasesMedium

Evaluates your breadth of NLP knowledge and practical experience applying algorithms.

Anz
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