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Updated weekly · Last refresh Aug 30

Datadog Data Scientist Interview Questions

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

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1
SQL & Data ManipulationStart here. 5 questions + 1 drill · ~53 min
Rolling 7-Day Telemetry Average in SQLMedium
Practice

Calculate each Datadog customer account's rolling 7-day telemetry ingestion average using daily aggregation and window functions.

Window FunctionssqlDatadog
Calculate 30-Day User RetentionMedium
Practice
Practice drill

Use CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.

Window FunctionsDate FunctionsAggregationsSpliceMeta LogisticsTikTok
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2
A/B Testing & Experimentation6 questions · ~52 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 MismatchDatadog
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3
Metrics3 questions · ~26 min
Diagnose a Metric Drop After LaunchMedium
Recently asked

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisDatadog
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4
Machine Learning6 questions · ~52 min
Modeling Too-Large DatasetsHard

Assesses your strategy for scalable modeling when data cannot fit in memory.

large datasetsmodelingDatadog
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5
Statistics & Probability5 questions · ~43 min
False Discovery Rate ControlHard

Tests your ability to control error rates in large-scale multiple hypothesis testing.

Datadog
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6
Product Sense4 questions · ~35 min
Measuring User Engagement for a New FeatureMedium

Evaluates your ability to translate product goals into measurable engagement metrics.

user engagementDatadog
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7
More topics8 questions · ~69 min
Root Cause From EDA System MetricsHard

Evaluates your ability to reason from system telemetry to identify likely root causes.

root cause analysisDatadog
Handling 25GB Data With 16GB RAMMedium

Assesses your practical approach to memory constraints and scalable data processing.

memory managementlarge datasetsDatadog
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The finish line: interview-readyComplete all 37 questions plus 1 hands-on drill to finish this plan.