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Updated weekly · Last refresh Aug 30

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 weekly.

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 8 questions + 2 drills · ~87 min
2
Metrics7 questions · ~58 min
3
A/B Testing & Experimentation8 questions · ~67 min
Power Analysis for Survey ExperimentHard

Determine sample size and power for a customer survey or experiment, including MDE, guardrails, and a disciplined decision rule.

MDEPower AnalysisSample SizeCohere Technology
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4
Model Evaluation3 questions · ~25 min
Choosing Classification Evaluation MetricsEasy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallCohere Technology
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5
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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6
Pipelines3 questions · ~25 min
Backfilling Missing Pipeline DataMedium

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

ETLQualityCohere Technology
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7
More topics17 questions · ~141 min
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueCohere Technology
Supervised vs Unsupervised LearningEasy

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

Unsupervised LearningFeature EngineeringBias-Variance TradeoffCohere Technology
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.