The Federal National Mortgage Association - Fannie Mae Data Scientist Interview Questions
The questions to prepare for a The Federal National Mortgage Association - Fannie Mae Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Calculate each customer’s 30-day moving average of daily transaction totals using aggregation and a PostgreSQL window frame.
The Federal National Mortgage Association - Fannie MaeDefine a success metric for a new feature that captures real user value, not just raw usage.
The Federal National Mortgage Association - Fannie MaeAssesses ability to translate statistical concepts into clear, stakeholder-friendly explanations.
The Federal National Mortgage Association - Fannie MaeEvaluates structured troubleshooting of business metrics using data and causal reasoning.
The Federal National Mortgage Association - Fannie MaeEvaluates experimental design choices that control for seasonal effects in housing metrics.
The Federal National Mortgage Association - Fannie MaeAssesses SQL skills for deduplicating and selecting the latest record per entity.
The Federal National Mortgage Association - Fannie MaeAssesses experience preventing bias, leakage, and invalid conclusions in experiments.
The Federal National Mortgage Association - Fannie MaeEvaluates product sense and ability to reason about housing market dynamics using data signals.
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Find the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.
Revolut
ChimeRank the top 10 ResMed myAir users in each region using joins, aggregation, and ROW_NUMBER().
Resmed