Simon-Kucher Data Scientist Interview Questions
The questions to prepare for a Simon-Kucher Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Simon-KucherRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoUse CTEs, aggregations, and window functions to compare gender pay and find each department's second-highest salary.
MeeshoTests methods for deriving WTP from observed purchase behavior and sales transactions.
Simon-KucherTests understanding of ensemble methods and interpretation of feature importance signals.
Simon-KucherWalk through the math of customer lifetime value using retention, churn, and margin assumptions.
Simon-KucherDefine the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.
Simon-KucherTests ability to build MMM for channel budget optimization and causal attribution.
Simon-KucherTests data cleaning, imputation choices, and pipeline readiness for ML modeling.
Simon-KucherDiagnose why conversion fell from 4.8% to 3.1% after a launch by breaking the metric across funnel steps, cohorts, and segments.
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