BlackRock Data Scientist Interview Questions
The questions to prepare for a BlackRock Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Calculate 30-day rolling average returns for in-scope assets using LAG, CTEs, and date-based window frames.
BlackRockFind the second highest distinct salary from a single table using basic PostgreSQL ordering and limiting.
eClinicalWorks
Informatica
Spectraforce TechnologiesAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreInterpret what a 0.84 AUC-ROC means for a marketing response model and explain why threshold and calibration still matter.
BlackRockExplain why a home-price model has RMSE of $34.9k but MAE of $18.4k, and what that says about outliers and metric choice.
BlackRockSign up to see every question
Create a free account to unlock this list and practice real interview questions.
Approach for safely backfilling missing data while preserving correctness, idempotency, and data quality.
BlackRockBuild a financial NER pipeline to extract entities such as issuers, funds, tickers, dates, and monetary values from reports.
BlackRockExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
BlackRockExplain how to distinguish early directional metrics from outcome metrics, using a clear KPI framework tied to product decisions.
BlackRockExplain why correlation measures association, while causation requires evidence that changing one variable changes the other.
BlackRock