ProcDNA Data Scientist Interview Questions
The questions to prepare for a ProcDNA Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain how to prevent premature A/B test decisions by pre-registering sample size, analysis timing, and guardrail-based ship rules.
Explain common experimentation pitfalls and design controls that prevent selection bias from invalidating conclusions.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Tests ownership, adaptability, and practical problem solving when a project encounters difficulty.
Explain what a p-value means in an A/B test, what it does not mean, and how to use it in an experiment decision.
Build a systematic process to validate a 10% overnight KPI decline, isolate its cause, and recommend corrective action.
Explain how you diagnosed and optimized a slow PostgreSQL query using execution plans, indexing, and query rewrites.
Define a success metric for a new feature that captures real user value, not just raw usage.
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Demonstrate how INNER JOIN and FULL OUTER JOIN handle matching and unmatched rows.
Rocket
NeenOpal
eBayTask A reporting query at a commerce platform summarizes recent orders for active customers, but the production version is slow. Write a PostgreSQL query t...
Approach a mixed interview round while summarizing completed activity with a CTE, aggregation, and left join.
Wise