The E.W. Scripps Data Scientist Interview Questions
The questions to prepare for a The E.W. Scripps Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how you have designed and implemented A/B tests, including hypothesis setup, analysis, and decision making.
The E.W. ScrippsExplain how to reduce overfitting using regularization, validation, and model selection.
The E.W. ScrippsExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
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Tests data-driven experimentation and metric selection to drive engagement outcomes.
The E.W. ScrippsTests analytical judgment, communication, and execution of data-informed decisions.
The E.W. ScrippsA framework for deciding which features should ship first when building a new product.
The E.W. ScrippsTests performance troubleshooting skills across query design, indexing, and execution plans.
The E.W. ScrippsTests model evaluation methodology, metrics selection, and validation practices.
The E.W. ScrippsUse joins, a CTE, and aggregation to rank the top 5 products by non-returned revenue in the last 30 days.
Blue Nile
O'Reilly Auto Parts
CengageFind the top 10 products by total sales revenue using joins, aggregation, and a CTE.
RTX
iSmile Technologies
CatalinaUse a CTE to calculate monthly paid TurboTax starts and prior-month activity retention for growth analysis.
Intuit