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EagleView Data Scientist Interview Questions

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

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1
Machine LearningStart here. 3 questions · ~25 min
Vanishing Gradients in Deep NetworksMedium

Explain vanishing gradients in deep networks and how residual connections, batch normalization, and activation choice improve training.

Neural NetworksDeep LearningGradient DescentEEagleView
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2
Behavioral & Leadership4 questions · ~33 min
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3
More topics8 questions · ~66 min
RANK vs DENSE_RANK in LeaderboardsEasy

Explain how RANK() and DENSE_RANK() handle ties differently in ordered SQL results such as leaderboards.

Window FunctionsRankingData WranglingEEagleView
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceEEagleView
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 MismatchEEagleView
Design a Metric for Roof DamageMedium

Evaluates ability to define and align product metrics with EagleView's roof-damage detection product.

product metricsModel EvaluationEEagleView
Model Deployment with DockerMedium

Evaluates deployment skills and practical ops for serving models.

dockerEEagleView
Root Cause of Accuracy DropMedium

Assesses debugging and fault-isolation skills on a domain-relevant metric.

root cause analysisEEagleView
Precision vs Recall for Insurance AdjustersMedium

Tests tradeoffs between precision and recall in a customer-facing inspection workflow.

Model EvaluationEEagleView
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL: Deduplicate Latest RecordsMedium
Practice
Practice drill

Deduplicate customer records with ROW_NUMBER, retaining the latest record and reporting duplicate counts.

Window Functionsdata cleaningRankingIBMNewWave Telecom & Technologies
Remove Duplicates Keeping LatestMedium
Practice
Practice drill

Delete duplicate contact records while retaining the most recently updated row for each email address.

Window Functionsdata cleaningRankingBNSF RailwayRevature
Top Credit Score Applicants by StateMedium
Practice
Practice drill

Identify the highest-credit-score 5% of applicants within each state using percentiles and window ranking.

Window FunctionsJoinsRankingAmerican Credit Acceptance
The finish line: interview-readyComplete all 15 questions plus 3 hands-on drills to finish this plan.