AT&T Data Scientist Interview Questions
The questions to prepare for a AT&T Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how to choose between a simpler interpretable model and a more accurate black-box model.
AT&TExplain how to reduce overfitting using regularization, validation, and model selection.
AT&TTests practical data engineering skills for scalable merges under memory constraints.
AT&TUse INNER JOIN, LEFT JOIN, and HAVING to report January data usage for active AT&T subscribers.
AT&TAggregate weekly AT&T store sales and compare each store-week with the immediately preceding week using a CTE self-join.
AT&TAggregate May data usage for active AT&T subscribers using a CTE, joins, COALESCE, and GROUP BY.
AT&TInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
AT&TExplain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.
AT&TChoose the right evaluation metric for an imbalanced dataset and explain why accuracy can mislead.
AT&TDefine the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.
AT&TTests product thinking and ability to define measurable, decision-ready churn metrics.
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