Comarch Data Scientist Interview Questions
The questions to prepare for a Comarch Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Tests intrinsic motivation, learning agility, and whether the candidate turns industry awareness into practical impact.
Calculate three-day rolling user activity averages and classify behavior trends with SQL window functions.
Design a retention experiment with a clear MDE, user-level randomization, guardrails, power analysis, and a defensible ship decision.
Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.
Explain how to reduce overfitting using regularization, validation, and model selection.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Explain how to profile, clean, and standardize missing or dirty data before analysis.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Replace missing sales fields with defined defaults and return a consistently ordered dataset.
University of Minnesota
The Home Depot
NationwideCreate an auditable application dataset by applying explicit PostgreSQL rules for missing candidate, status, salary, and date values.
Aircall
athenahealth
Hays