SFL Scientific Interview Questions
The questions to prepare for SFL Scientific interviews, across all roles. Questions from real interview reports rank first. Updated weekly.
Explain how to reduce overfitting when model capacity is high and training data is limited.
SFL ScientificIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
SFL ScientificDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
SFL ScientificDefine a success metric for a new feature that captures real user value, not just raw usage.
SFL ScientificExplain how to evaluate a classifier on imbalanced data, with focus on metrics that are more informative than accuracy.
SFL ScientificTests understanding of p-values, effect sizes, and practical pitfalls in decision-making.
SFL ScientificTests system thinking for building robust ingestion, preprocessing, feature extraction, and training pipelines.
SFL ScientificTests SQL window function proficiency for cohort analytics and rolling aggregations.
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Use CTEs and window functions to calculate 7-day transaction averages and rank Loft users within each region.
Loft
Arcadis
Cgi NederlandUse joins, monthly aggregation, and window functions to compute running revenue totals and customer rank by region.
NTT DATA
AppfolioCompute calendar-based 7-day signal averages and rank NASA instruments within each mission group.
NASA
Nextera Energy Resources