Starling Data Scientist Interview Questions
The questions to prepare for a Starling Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate each user's rolling 30-day average transaction volume using PostgreSQL window functions.
Calculate monthly cohort retention using date-based cohorts, aggregation, and window functions.
Calculate each user's seven-day rolling average of daily events using PostgreSQL window functions.
BounteousFFreelancerBBoston Tech IndiaDiagnose a sudden monthly active user decline by validating the metric, isolating affected segments, and identifying likely product or data causes.
Explain statistical significance, p-values, uncertainty, and practical importance to a non-technical audience.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Define a success metric for a new feature that captures real user value, not just raw usage.
Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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