Trexquant Investment Data Scientist Interview Questions
The questions to prepare for a Trexquant Investment Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain what a p-value means in hypothesis testing and how it relates to statistical significance.
Trexquant InvestmentExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
Trexquant InvestmentApproach for maintaining data quality and integrity across ETL pipelines.
Trexquant InvestmentDetermine sample size and power for a customer survey or experiment, including MDE, guardrails, and a disciplined decision rule.
Trexquant InvestmentInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
Trexquant InvestmentTests data quality handling and correct treatment of missingness.
Trexquant InvestmentRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoBuild a daily series and compute a 30-day trailing moving average of task bookings using window functions.
TaskRabbit
RBCAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreDesign a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.
Trexquant InvestmentExplain precision versus recall in plain language and how the tradeoff affects product decisions.
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