Macquarie Group Data Scientist Interview Questions
The questions to prepare for a Macquarie Group Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Macquarie GroupExplain when network interference threatens an A/B test, how it biases estimates, and how to redesign the experiment safely.
Macquarie GroupExplain common online experimentation pitfalls and how to design, analyze, and decide in ways that avoid false wins.
Macquarie GroupExplain how to profile, clean, and standardize missing or dirty data before analysis.
Macquarie GroupExplain what statistical significance means and why it matters when interpreting experimental or analytical results.
Macquarie GroupDefine a success metric for a new feature that captures real user value, not just raw usage.
Macquarie GroupOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Macquarie GroupExplain how you diagnosed and optimized a slow PostgreSQL query using execution plans, indexing, and query rewrites.
Macquarie GroupSign up to see every question
Create a free account to unlock this list and practice real interview questions.
Find Farallon Capital Management's top five customers by aggregated sales volume using filtering, GROUP BY, ORDER BY, and LIMIT.
Farallon Capital ManagementMacquarie GroupCompute per-vehicle daily autonomous vs manual seconds from state-change logs using LEAD and conditional aggregation.
Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AI