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Updated weekly · Last refresh Sep 20
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Evalueserve Data Scientist Interview Questions

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

16questions
~2htotal time
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1
Product SenseStart here. 4 questions · ~36 min
Design a New Engagement MetricHard

Define a meaningful engagement metric for a retail analytics mobile application and explain how to validate it.

product metricsMetricsuser engagementEEvalueserve
Define Metrics for New FeaturesMedium

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

MetricsFeature Prioritizationuser valueEEvalueserve
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2
A/B Testing & Experimentation3 questions · ~27 min
Landing Page Conversion Test DesignMedium

Design a landing-page A/B test with clear metrics, power, and significance criteria while guarding against common experiment pitfalls.

Statistical SignificanceSample SizeA/B TestingEEvalueserve
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 MismatchEEvalueserve
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3
Behavioral & Leadership4 questions · ~36 min
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4
More topics5 questions · ~45 min
SQL Window Functions Moving AverageMedium
Practice

Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.

Window FunctionsData AnalysissqlEEvalueserve
Diagnose Engagement DropHard

Identify the causes of a quarterly engagement decline through metric validation, decomposition, segmentation, and trend analysis.

MetricsDiagnosisuser engagementEEvalueserve
Statistical Significance in Business DecisionsEasy

Explain what statistical significance means, how p-values and confidence intervals support decisions, and why significance alone is not enough.

Hypothesis TestingStatistical SignificanceP-ValuesEEvalueserve
Explain Statistical SignificanceEasy

Assesses understanding of core statistical concepts.

statistics fundamentalsData AnalysisStatistical SignificanceEEvalueserve
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Second Attempt Score Per UserEasy
Practice
Practice drill

Use ROW_NUMBER to return each student's second score on a specified Khan Academy exercise.

Data Analysissqluser engagementKhan Academy
Running Average With Window FunctionsEasy
Practice
Practice drill

Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.

Window FunctionsData AnalysissqlHingeCCatalyst Operations & AnalyticsAAlight Solutions
The finish line: interview-readyComplete all 16 questions plus 2 hands-on drills to finish this plan.