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Prep plan
Updated weekly · Last refresh Aug 30

C3 AI Data Scientist Interview Questions

The questions to prepare for a C3 AI Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

50questions
~7htotal time
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1
MetricsStart here. 3 questions · ~24 min
2
A/B Testing & Experimentation5 questions · ~41 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 SizeC3 AI
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3
Machine Learning8 questions · ~65 min
Supervised vs Unsupervised LearningEasy

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

Unsupervised LearningFeature EngineeringBias-Variance TradeoffC3 AI
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4
Statistics & Probability7 questions · ~57 min
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceC3 AI
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5
Model Evaluation5 questions · ~41 min
Choose the Right Evaluation MetricsEasy

Pick the right metrics to evaluate a machine learning model and explain why they fit the problem.

PrecisionAccuracyRecallC3 AI
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6
SQL & Data Manipulation8 questions + 3 drills · ~95 min
7
More topics14 questions · ~114 min
Deploy a Cloud ML ModelMedium

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

InfrastructureFeature StoreModel ServingC3 AI
Predicting Equipment FailureMedium

Assesses your problem framing, data requirements, and target definition for predictive maintenance.

C3 AI
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.