Preply Data Scientist Interview Questions
The questions to prepare for a Preply Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Assesses judgment for interpreting near-threshold results and deciding next steps responsibly.
Tests ability to define and validate a metric for marketplace match quality and downstream user value.
Tests ability to define actionable product metrics aligned to Preply’s tutor-student matching outcomes.
Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Tests ability to compute sample size using power, effect size, and error rates.
Assesses structured root-cause analysis for conversion metric declines using data and experimentation thinking.
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