Hastings Direct Data Scientist Interview Questions
The questions to prepare for a Hastings Direct Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Design an experiment to see whether a new offer lifts retention without hurting revenue, with power and guardrails defined upfront.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Tests structured thinking for preparing data for modeling and analysis.
Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
AArete
MITRE
GlassdoorCalculate a calendar-aware 7-day average of Samsara incident counts using CTEs and window functions.
SamsaraCalculate calendar-aware 7-day sensor anomaly averages per Mercedes-Benz vehicle using daily aggregation and window functions.
Mercedes-Benz GroupDefine a success metric for a new feature that captures real user value, not just raw usage.
Design a real-time fraud scoring system for card transactions with strict latency, delayed labels, and high availability requirements.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
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