PhysicsX Data Scientist Interview Questions
The questions to prepare for a PhysicsX Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Find the top 10 products by total sales revenue using joins, aggregation, and a CTE.
PhysicsXAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreCalculate daily session-level funnel conversion rates using CTEs, CASE WHEN, and date functions.
Define a metric framework for evaluating a new feature, from immediate adoption signals to long-term retention impact.
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Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
PhysicsXChoose useful features for a supervised model and avoid overfitting, leakage, and unstable predictors.
PhysicsXExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
PhysicsXAssess whether a model is effective using core classification metrics and the confusion matrix.
PhysicsXA framework for deciding which features should ship first when building a new product.
PhysicsXDiscuss the main pipeline challenges that appear as data volume, velocity, and system complexity grow.
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