Simon AI Data Scientist Interview Questions
The questions to prepare for a Simon AI Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
Simon AIA framework for deciding which features should ship first when building a new product.
Simon AIPick a primary launch metric and guardrails that capture feature value without missing harmful side effects.
Simon AIAssess whether interference between nearby units could bias an operations experiment and how to test for it.
Simon AIDecide whether a change in user engagement is statistically real using hypothesis testing and confidence intervals.
Simon AICompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Simon AIExplain how to evaluate a regression model with RMSE and MAE, and how to interpret the tradeoff between average and large errors.
Simon AICompare batch and streaming data processing, including when each fits best in a pipeline.
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