Loop Data Scientist Interview Questions

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

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SQL & Data ManipulationStart here. 3 questions + 1 drill · ~41 min

SQL Window FunctionsHard

Practice

Calculate monthly user totals, running totals, and time-based rankings with PostgreSQL window functions.

Window FunctionsDate FunctionsData Manipulation

Loop

SQL for Top CategoriesMedium

Practice

Aggregate sales by category and return the three highest-performing categories.

Joinssql queryGroup By

Loop

Handling Missing and Skewed DataMedium

Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.

Data Qualitynull handlingData Wrangling

Loop

Rolling Transaction SQL and RankingHard

Practice

Practice drill

Calculate each user's 7-day rolling transaction average and daily spend rank using PostgreSQL window functions.

Window FunctionsDate FunctionsRankingGGreen ExchangeAANT Solution

Rakuten

Behavioral & Leadership4 questions · ~41 min

More Behavioral & Leadership questions with a free account

More topics5 questions · ~52 min

Diagnosing a 10% Metric DropHard

Build a systematic process to validate, decompose, and explain a sudden 10% drop in core engagement.

root cause analysisDiagnosisdiagnostic process

Loop

Compute A/B Test Sample SizeHard

Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.

experiment designMDEStatistical Significance

Loop

Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical Significance

Loop

Define Metrics for New FeaturesMedium

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

MetricsFeature Prioritizationuser value

Loop

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 Mismatch

Loop

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