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Prep plan
Updated weekly · Last refresh Aug 30

Binance Data Scientist Interview Questions

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

33questions
~4htotal time
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1
MetricsStart here. 3 questions · ~24 min
2
Machine Learning7 questions · ~56 min
Handling Missing Values in MLEasy

Explain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.

Cross-ValidationFeature EngineeringRegularizationBinance
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3
A/B Testing & Experimentation4 questions · ~32 min
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchBinance
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4
SQL & Data Manipulation3 questions + 3 drills · ~54 min
5
Behavioral & Leadership11 questions · ~88 min
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6
More topics5 questions · ~40 min
Choosing Classification Evaluation MetricsEasy

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

PrecisionAccuracyRecallBinance
Python Data Cleaning ScriptMedium

Tests practical data preparation skills using Python for analysis-ready datasets.

Data WranglingETLQualityBinance
General Experience OverviewEasy

Tests your overall fit and how you frame relevant security engineering work.

User NeedsUse CasesBinance
Design a Recommendation SystemHard

Tests system design thinking for recommendations, including data, modeling, and serving.

RetrievalModel ServingRecommendation SystemsBinance
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The finish line: interview-readyComplete all 33 questions plus 3 hands-on drills to finish this plan.