Quora Data Scientist Interview Questions
The questions to prepare for a Quora Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Assess why a predictive model is missing accuracy targets and identify changes that would improve it.
QuoraStructured approach for diagnosing an underperforming model and deciding whether to fix data, thresholding, calibration, or the model.
QuoraReason about how seasonality can bias experiment reads and how to design analysis that separates treatment effects from time patterns.
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Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
QuoraOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
QuoraExplain how to train and evaluate a classifier when the positive class is rare and accuracy is misleading.
QuoraExplain practical SQL techniques for handling NULLs and missing values in product analysis without biasing metrics.
QuoraCalculate weekly retention by signup cohort using CTEs, joins, date truncation, and distinct user counts.
Brex
Postman
eToroUse joins, aggregations, and a window function to find the funnel step with the largest user drop-off.
Asana
Ais
CanvaCalculate signup-to-paid conversion by channel using joins, a CTE, and grouped aggregation in PostgreSQL.
Rippling
Harness
JerryTests product metric strategy and ability to resolve conflicting objectives.
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