Top 21
Prep plan
Updated weekly · Last refresh Oct 17

Reefpoint Group Data Scientist Interview Questions

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

21questions
~3htotal time
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1
Model EvaluationStart here. 3 questions · ~26 min
Evaluate Overfitting vs UnderfittingMedium

Explain how to tell whether a model is overfitting or underfitting using train versus validation performance and related checks.

Cross-ValidationBias-Variance TradeoffAccuracyReefpoint Group
Evaluate Regression with RMSE and MAEEasy

Explain how to evaluate a regression model with RMSE and MAE, and how to interpret the tradeoff between average and large errors.

RegressionMAERMSEReefpoint Group
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2
Machine Learning7 questions · ~60 min
Build a Predictive Model from DataMedium

Build a supervised model from a dataset, from feature prep through validation and deployment choices.

Cross-ValidationFeature EngineeringSupervised LearningReefpoint Group
Handling Class Imbalance in ClassificationMedium

Explain practical ways to train and evaluate a classifier when the target classes are highly imbalanced.

model trainingSupervised LearningClass ImbalanceReefpoint Group
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3
Product Sense3 questions · ~26 min
Prioritize User Problems with DataMedium

Framework for using product data to identify and prioritize the user problem that should be solved first.

Feature PrioritizationUser NeedsPain PointsReefpoint Group
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4
Metrics3 questions · ~26 min
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsReefpoint Group
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5
Statistics & Probability3 questions · ~26 min
Experiment for Retention ImpactHard

Tests experimental design choices, metrics, and statistical validity for retention experiments.

ExperimentationSample SizeA/B TestingReefpoint Group
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6
More topics2 questions · ~17 min
Handling Missing DataMedium
Practice

Standardize missing observation fields with fallback values, missingness flags, and ordered output.

Window Functionsmissing valuesdata cleaningReefpoint Group
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
The finish line: interview-readyComplete all 21 questions plus 2 hands-on drills to finish this plan.