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Updated weekly · Last refresh Oct 17

Cohere Technology Data Scientist Interview Questions

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

50questions
~7htotal time
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1
A/B Testing & ExperimentationStart here. 9 questions · ~75 min
2
SQL & Data Manipulation8 questions + 2 drills · ~87 min
3
System Design4 questions · ~33 min
Deploy a Cloud ML ModelMedium

Design a production ML deployment on Google Cloud with serving, feature management, rollout, monitoring, and evaluation.

InfrastructureFeature StoreModel ServingCohere Technology
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4
Model Evaluation3 questions · ~25 min
Choosing Precision vs RecallEasy

Explain precision vs recall and when business context should push you to optimize one metric over the other.

PrecisionThreshold TuningRecallCohere Technology
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5
Statistics & Probability4 questions · ~33 min
Choosing a Significance TestEasy

Explain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.

Confidence IntervalsHypothesis TestingStatistical SignificanceCohere Technology
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6
Product Sense4 questions · ~33 min
Define Feature Success MetricsMedium

Framework for choosing a feature's primary success metric and guardrails before launch.

MetricsFeature PrioritizationProduct VisionCohere Technology
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7
More topics18 questions · ~150 min
Backfilling Missing Pipeline DataMedium

Approach for safely backfilling missing data while preserving correctness, idempotency, and data quality.

ETLQualityCohere Technology
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 IndicatorsDiagnosisCohere Technology
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.