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Smartsheet Data Scientist Interview Questions

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

20questions
~3htotal time
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1
A/B Testing & ExperimentationStart here. 4 questions · ~33 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingSmartsheet
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 MismatchSmartsheet
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2
Statistics & Probability3 questions · ~25 min
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceSmartsheet
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3
SQL & Data Manipulation3 questions + 3 drills · ~55 min
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualitySmartsheet
Calculate 30-Day User RetentionHard
Practice
Practice drill

Use CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.

Window FunctionsDate FunctionsAggregationsCurefitReachMobiIndeed
Identify Funnel Bottlenecks in OnboardingHard
Practice
Practice drill

Use joins, CTEs, and aggregations to find the weakest step in an onboarding funnel and estimate lost conversions.

Funnel AnalysissqlDiagnosisAtlassianRevolut
SQL Window Functions Moving AverageMedium
Practice
Practice drill

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

Window FunctionsData AnalysissqlAAreteMITREGlassdoor
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4
Product Sense3 questions · ~25 min
Build an Engagement FeatureMedium

Approach for identifying, prioritizing, and launching a new feature that increases user engagement.

Feature PrioritizationUser NeedsUse CasesSmartsheet
Diagnose Sudden Metric DropsMedium

Tests structured root-cause analysis for diagnosing changes in product metrics.

product metricsroot cause analysisDiagnosisSmartsheet
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5
Behavioral & Leadership5 questions · ~41 min
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6
More topics2 questions · ~16 min
Choose Metrics for New FeaturesEasy

Define a practical framework for selecting a north star, supporting KPIs, and leading indicators for a new product feature.

North Star MetricKPIsLeading IndicatorsSmartsheet
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisSmartsheet

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