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Updated weekly · Last refresh Sep 16
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ALSTOM Data Scientist Interview Questions

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

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1
A/B Testing & ExperimentationStart here. 4 questions · ~35 min
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 MismatchAALSTOM
Balancing Speed and Rigorous TestingMedium

Assesses how you manage experiment quality, timelines, and risk tradeoffs.

experiment designA/B TestingAALSTOM
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2
Behavioral & Leadership4 questions · ~35 min
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3
More topics6 questions · ~53 min
Rolling Average with SQL Window FunctionsMedium
Practice

Use a PostgreSQL window function to calculate inclusive 30-day rolling sensor averages for active WSP monitoring assets.

Window FunctionssqlAALSTOM
Investigate Metric DropMedium

Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.

metric selectionDiagnosiskpi hierarchyAALSTOM
Define Metrics for New FeaturesMedium

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

MetricsFeature Prioritizationuser valueAALSTOM
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityAALSTOM
Analyzing User Feedback DataMedium

Assesses your statistical toolkit for summarizing, modeling, and drawing insights from feedback signals.

Data Analysisuser feedbackAALSTOM
Optimizing Slow SQL QueriesHard

Tests your SQL performance troubleshooting and optimization approach under real constraints.

Performance TuningAALSTOM

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
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 AnalysissqlAAreteSShyena Tech YarnsEEvalueserve
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
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