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Updated weekly · Last refresh Aug 30

Argus Information & Advisory Services Data Scientist Interview Questions

The questions to prepare for a Argus Information & Advisory Services Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 8 questions + 1 drill · ~79 min
2
Statistics & Probability8 questions · ~69 min
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesArgus Information & Advisory Services
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3
Model Evaluation8 questions · ~69 min
Interpret a Confusion MatrixEasy

Explain what a confusion matrix shows and how to read it for precision and recall.

Confusion MatrixPrecisionAccuracyArgus Information & Advisory Services
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4
Machine Learning9 questions · ~78 min
Bias-Variance Tradeoff in PracticeMedium

Explain the bias-variance tradeoff and how it guides model choice, regularization, and generalization performance.

Cross-ValidationBias-Variance TradeoffRegularizationArgus Information & Advisory Services
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5
Metrics4 questions · ~35 min
Calculate Customer Lifetime ValueMedium

Walk through the math of customer lifetime value using retention, churn, and margin assumptions.

CACRetentionLTVArgus Information & Advisory Services
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6
Pipelines8 questions · ~69 min
Design an ETL Pipeline for Large DatasetsMedium

Design an ETL pipeline to process 10TB of data daily from multiple sources into a data warehouse with strict data quality checks.

InfrastructureETLData ModelingArgus Information & Advisory Services
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7
More topics5 questions · ~43 min
Identify Customer Segments for BankingMedium

Assesses your approach to segmentation using data and clustering or related techniques for banking use cases.

User SegmentsUser NeedsValue PropositionArgus Information & Advisory Services
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.