Factset Data Scientist Interview Questions
The questions to prepare for a Factset Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Build a stock price forecasting pipeline using time series validation, careful feature engineering, and realistic error metrics.
FactsetExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
FactsetCompute the mean and standard deviation of a dataset, and distinguish the sample standard deviation from the population version.
FactsetTests practical data wrangling skills and your ability to prepare data for modeling or analytics.
FactsetFind the second highest salary in each department without using aggregate functions.
Credit Genie
Devoteam
Cisco Restaurant + BarUse ROW_NUMBER() to keep the earliest created_at 'Repl created' per entity and return out-of-order duplicates to delete.
Replit
QuantcastCompute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AIDefine a success metric for a new feature that captures real user value, not just raw usage.
FactsetDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
FactsetDesign an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
FactsetA framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.
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