WorldQuant Data Scientist Interview Questions
The questions to prepare for a WorldQuant Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Compute the expected waiting time to see two consecutive heads when flipping a fair coin.
WorldQuantTests probability modeling for discrete random variables and deriving exact distributions.
WorldQuantTests SQL window function fluency for time-series style feature engineering and grouped ranking.
WorldQuantTests ability to structure SQL for causal-style comparisons with windows and group-level metrics.
WorldQuantUse a CTE, joins, and RANK() to find the top 2 clients by revenue for each product from completed 2024 orders.
Google
Publicis Groupe
RTXUse CTEs and window functions to calculate 7-day transaction averages and rank Loft users within each region.
Loft
Arcadis
Cgi NederlandRank the top three DoorDash merchants per city by 30-day revenue using joins, aggregation, date filtering, and ROW_NUMBER.
DoorDashTests quantitative finance understanding and ability to connect model assumptions to numerical solutions.
WorldQuantInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
WorldQuantDefine a success metric for a new feature that captures real user value, not just raw usage.
WorldQuantDesign an A/B test for a new app-store ranking algorithm, including primary metrics, guardrails, sample size, and launch criteria.
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