Kepler Group Data Scientist Interview Questions
The questions to prepare for a Kepler Group Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain what statistical significance means, how p-values and confidence intervals support decisions, and why significance alone is not enough.
Kepler GroupExplain how to reduce overfitting using regularization, validation, and model selection.
Kepler GroupDiagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.
Kepler GroupAssesses your approach to building and validating a predictive model from customer behavior data.
Kepler GroupEvaluates your SQL window function skills for time-based behavioral analysis.
Kepler GroupOptimize a large Microsoft Teams engagement query using early filtering, pre-aggregation, joins, and LAG for weekly trends.
MicrosoftUse ROW_NUMBER() to keep the earliest created_at 'Repl created' per entity and return out-of-order duplicates to delete.
Replit
QuantcastUse a CTE and ROW_NUMBER to identify duplicate customer records, keep one row, and flag the rest.
MicrosoftIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
Kepler GroupExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
Kepler GroupEvaluates your system thinking around reliability, cost, latency, and operational constraints for ML.
Kepler GroupSign up to see every question
Create a free account to unlock this list and practice real interview questions.