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Updated weekly · Last refresh Nov 6
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Indium Software Data Scientist Interview Questions

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

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~3htotal time
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1
SQL & Data ManipulationStart here. 3 questions · ~32 min
SQL Joins and Use CasesEasy
Practice

Identify common SQL join types and explain when each is appropriate.

Joinsdatabase queryingjoin typesIIndium Software
Optimize Slow Queries on Large DataMedium
Practice

Optimize a slow PostgreSQL query on a large dataset by choosing better filters, joins, and indexes.

Performance Tuningdatabase optimizationdatabase managementIIndium Software
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2
A/B Testing & Experimentation4 questions · ~43 min
Handling Inconclusive Experiment ResultsHard

Explain how to diagnose inconclusive results, assess power and MDE, and decide whether to iterate, extend, or stop.

Decision Makingexperiment designMDEIIndium Software
Avoiding Experimentation PitfallsHard

Explain common experimentation pitfalls and design controls that prevent selection bias from invalidating conclusions.

experiment designPeekingSample Ratio MismatchIIndium Software
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3
Statistics & Probability3 questions · ~32 min
Statistical Significance MethodsHard

Explain how to design, test, and validate analyses so statistical significance is reliable rather than a result of sampling noise or repeated testing.

Hypothesis TestingData AnalysisStatistical SignificanceIIndium Software
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4
Product Sense3 questions · ~32 min
Balance Short-Term and Long-Term ValueHard

Explain how to optimize near-term product outcomes without sacrificing long-term user trust, retention, and value.

product metricsTrade-offsFeature PrioritizationIIndium Software
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5
More topics4 questions · ~43 min
Detecting Data Drift Over TimeHard

Design a monitoring and retraining strategy to detect data drift and preserve deployed model performance over time.

data driftmodel validationModel EvaluationIIndium Software
Diagnose Engagement DropHard

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

MetricsDiagnosisuser engagementIIndium Software
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