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Prep plan
Updated weekly · Last refresh Aug 30

Dataminr Research Scientist Interview Questions

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

19questions
~3htotal time
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1
Machine LearningStart here. 4 questions · ~33 min
Feature Selection in Supervised LearningMedium

Explain a practical approach to feature selection, including filtering, embedded methods, and validation against overfitting.

Feature EngineeringDeep LearningSupervised LearningDataminr
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffDataminr
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2
Coding3 questions · ~25 min
Explain Time Complexity of Array SearchEasy

Explain how to analyze the time complexity of a common array search solution and justify the Big O result.

MathArraysSearchingDataminr
Optimize Slow Code SegmentMedium

Tests your performance debugging skills and practical optimization strategies for production code.

Hash TablesArraysSearchingDataminr
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3
Behavioral & Leadership8 questions · ~66 min
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4
More topics4 questions · ~33 min
Dataminr ML Project ProposalHard

Tests your ability to translate Dataminr's real-time intelligence goals into a concrete ML research plan.

Feature StoreRetrievalModel ServingDataminr
A/B Testing in ResearchMedium

Tests your understanding of causal evaluation and how you validate improvements with controlled experiments.

Hypothesis TestingStatistical SignificanceA/B TestingDataminr
Model Performance MetricsEasy

Tests your understanding of evaluation metrics and when to use them for real-world ML systems.

PrecisionAccuracyRecallDataminr
Respond to False Positive SpikeMedium

Tests your troubleshooting approach for model quality regressions and your ability to restore reliability.

PrecisionThreshold TuningRecallDataminr
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