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Celebal Technologies Data Scientist Interview Questions

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

50questions
~7htotal time
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1
Model EvaluationStart here. 7 questions · ~58 min
2
A/B Testing & Experimentation6 questions · ~50 min
Using CUPED in Product ExperimentsHard

Explain CUPED, when to apply it in an experiment, and how variance reduction affects power and detectable lift.

ExperimentationVarianceCUPEDCelebal Technologies
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3
Metrics4 questions · ~33 min
Define Feature Leading and Lagging MetricsMedium

Define leading and lagging indicators for a new feature and tie them to product outcomes.

North Star MetricLagging IndicatorsLeading IndicatorsCelebal Technologies
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4
Product Sense3 questions · ~25 min
Define Prelaunch Feature SuccessEasy

Define how to measure whether a new customer-facing feature will succeed before launch.

Success CriteriaUser NeedsValue PropositionCelebal Technologies
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5
Machine Learning9 questions · ~75 min
Explain Random ForestsEasy

Explain how random forests work, why they reduce variance, and when they are a good choice.

Cross-ValidationEnsemble MethodsDecision TreesCelebal Technologies
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6
SQL & Data Manipulation4 questions + 3 drills · ~63 min
7
More topics17 questions · ~141 min
Approach an NLP Classification ProjectEasy

Outline a practical NLP workflow, from tokenization and TF-IDF baselines to text classification and F1-based evaluation.

Language ModelsText ClassificationTokenizationCelebal Technologies
Design a Personalized Product RecommenderHard

Design an end-to-end product recommendation system for a large e-commerce marketplace with strict latency and freshness needs.

Feature StoreFeature DriftModel ServingCelebal Technologies
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