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Express Service Group Data Scientist Interview Questions

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

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1
SQL & Data ManipulationStart here. 2 questions + 2 drills · ~40 min
SQL Window Functions Moving AverageMedium
Practice
Recently asked

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

Window FunctionsData AnalysissqlEExpress Service Group
Handling Missing and Dirty SQL DataMedium
Recently asked

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

Data WranglingCase WhenQualityEExpress Service Group
Top 3 Customers by MonthMedium
Practice
Recently asked
Practice drill

Find the top three customers by monthly spend using aggregation and ranking.

Window FunctionsDate FunctionsRankingEExpress Service GroupAmerican ExpressCarvana
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
2
Machine Learning1 question · ~10 min
Tree-Based Model DifferencesHard
Recently asked

Compare Decision Trees, Random Forest, and XGBoost on a binary tabular classification dataset and justify the model selection tradeoffs.

model selectionEnsemble MethodsDecision TreesEExpress Service Group

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3
Product Sense1 question · ~10 min
Define Prelaunch Feature SuccessEasy
Recently asked

Define how to measure whether a new customer-facing feature will succeed before launch.

Success CriteriaUser NeedsValue PropositionEExpress Service Group
4
Statistics & Probability2 questions · ~20 min
Statistical vs Practical SignificanceMedium
Recently asked

Explain why a statistically significant experiment result may still be too small to matter for product or business decisions.

Confidence IntervalsExperimentationHypothesis TestingEExpress Service Group
Statistical Significance in Hypothesis TestingEasy
Recently asked

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

Hypothesis TestingData AnalysisStatistical SignificanceEExpress Service Group
5
Metrics1 question · ~10 min
First Checks for Metric DropsEasy
Recently asked

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

Lagging IndicatorsLeading IndicatorsDiagnosisEExpress Service Group
6
A/B Testing & Experimentation1 question · ~10 min
Common Pitfalls in Experiment ResultsHard
Recently asked

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

PeekingNovelty EffectSample Ratio MismatchEExpress Service Group
7
Behavioral & Leadership2 questions · ~20 min
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The finish line: interview-readyComplete all 10 questions plus 2 hands-on drills to finish this plan.