Top 15
Prep plan
Updated weekly · Last refresh Sep 22
A

AYES Data Scientist Interview Questions

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

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1
Product SenseStart here. 4 questions · ~35 min
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueAAYES
Investigate a Product Metric DropMedium

Tests root-cause analysis of sudden metric drops in AYES products.

product metricsroot cause analysisAAYES
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2
A/B Testing & Experimentation3 questions · ~26 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 MismatchAAYES
Interpreting P-values in Product ContextMedium

Tests interpretation of statistical significance within product decisions.

Statistical SignificanceAAYES
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3
Behavioral & Leadership4 questions · ~35 min
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4
More topics4 questions · ~35 min
7-Day Rolling Active UsersMedium
Practice

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning TotalsAAYES
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisAAYES
Ensure Statistical Significance in ExperimentsMedium

Evaluates methods to achieve and verify statistical significance in experiments.

ExperimentationData AnalysisStatistical SignificanceAAYES
Design Retention MetricMedium

Tests creation of retention metrics and long-term user engagement analysis.

user retentionAAYES

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