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Updated weekly · Last refresh Aug 30

Earthcam Data Scientist Interview Questions

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

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~4htotal time
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1
Machine LearningStart here. 6 questions · ~50 min
2
Pipelines3 questions · ~25 min
Design an End-to-End Data PipelineMedium

Approach for designing an end-to-end data pipeline from ingestion through transformation, storage, and downstream consumption.

data pipelinedesigningestionEarthcam
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3
System Design3 questions · ~25 min
Model Security ImplementationMedium

Tests your approach to protecting sensitive data in the ML lifecycle.

InfrastructureFeature StoreModel ServingEarthcam
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4
Behavioral & Leadership10 questions · ~84 min
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5
More topics10 questions · ~84 min
Top 10 Customers by SpendEasy
Practice

Find EarthCam's top 10 customers by total spend using GROUP BY, SUM, ORDER BY, and LIMIT.

RankingGroup ByAggregationsEarthcam
Evaluate Regression with RMSE and MAEEasy

Explain how to evaluate a regression model with RMSE and MAE, and how to interpret the tradeoff between average and large errors.

RegressionMAERMSEEarthcam
Prioritize User Problems with DataMedium

Framework for using product data to identify and prioritize the user problem that should be solved first.

Feature PrioritizationUser NeedsPain PointsEarthcam
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchEarthcam
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisEarthcam
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
The finish line: interview-readyComplete all 32 questions plus 2 hands-on drills to finish this plan.