Wonga Data Scientist Interview Questions
The questions to prepare for a Wonga Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Build a loan default classifier and show how to detect and prevent overfitting using regularization, cross-validation, and model complexity control.
WongaExplain the bias-variance tradeoff mathematically and how L1 and L2 regularization change model complexity and weights.
WongaChoose hyperparameters with cross-validation and validation metrics, while balancing bias, variance, and overfitting.
WongaExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
WongaTests your ability to trade off model performance and explainability for business stakeholders.
WongaExplain what drives your interest in data engineering, grounded in user needs and the value created by reliable data systems.
WongaUse SUM, GROUP BY, ORDER BY, and LIMIT to find the top 10 Healthfirst Marketplace customers by purchase total.
WongaA framework for connecting user needs to business goals, then making product decisions with clear trade-offs and measurable outcomes.
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Rank taskers by completed-booking revenue within each category for the previous calendar month.
TaskRabbitMeasure dashboard adoption by Johns Hopkins user segment using joins, aggregation, and reporting-period filters.
The Johns Hopkins University