DAZN Data Scientist Interview Questions
The questions to prepare for a DAZN Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Tests ability to write correct SQL joins and compute churn metrics by segment.
Tests practical data cleaning and aggregation skills using pandas on event log data.
Measure sequential Airbnb Homes funnel engagement and drop-off using CTEs, joins, aggregation, and LAG.
AirbnbRank the top 10 Disney+ Hotstar users in India by January watch time using a CTE, LEFT JOIN, and aggregation.
Use joins, aggregation, a CTE, and ROW_NUMBER to rank Instagram Save users by quarterly engagement within each region.
MetaTests model selection reasoning for time-series problems in a DAZN analytics context.
Tests understanding of transformer components and how to apply them to recommendation systems at DAZN.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Define one primary feature metric and a set of guardrails that capture user value without missing broader product risk.
Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.
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