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The Thaddeus Foundation Data Scientist Interview Questions

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

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A/B Testing & ExperimentationStart here. 4 questions · ~33 min
2
Behavioral & Leadership13 questions · ~106 min
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3
More topics11 questions · ~90 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffThe Thaddeus Foundation
Interpreting P Values in TestingEasy

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

Hypothesis TestingStatistical SignificanceP-ValuesThe Thaddeus Foundation
Using Data to Influence DecisionsEasy

Share how you used data to shape a business decision, including the analysis, recommendation, and outcome.

User ResearchUser NeedsValue PropositionThe Thaddeus Foundation
Evaluate Regression with RMSE and MAEEasy

Explain how to evaluate a regression model with RMSE and MAE, and how to interpret the tradeoff between average and large errors.

RegressionMAERMSEThe Thaddeus Foundation
Define the Right North StarMedium

Define a north star metric that reflects product value and shows whether the product is working.

North Star MetricKPIsLeading IndicatorsThe Thaddeus Foundation
SQL Window Functions for Month-over-MonthMedium

Tests ability to write correct window-function queries for time-based comparisons.

Window FunctionsLag/LeadDate FunctionsThe Thaddeus Foundation
Cleaning Inconsistent DatasetsMedium

Evaluates your data cleaning and validation approach for inconsistent inputs.

Data WranglingETLQualityThe Thaddeus Foundation
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 28 questions plus 3 hands-on drills to finish this plan.