SoulPage IT Solutions Data Scientist Interview Questions
The questions to prepare for a SoulPage IT Solutions Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain practical ways to train and evaluate a classifier when the target classes are highly imbalanced.
Explain how bias and variance affect generalization, and how model complexity changes the balance.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
Define a success metric for a new feature that captures real user value, not just raw usage.
Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Determine A/B test sample size from baseline rate, MDE, significance level, and power, then validate the calculation through simulation.
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Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
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HingeCCatalyst Operations & AnalyticsAAlight SolutionsCalculate three-day rolling passenger entry averages for TfL stations using aggregation and window functions.
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