W.W. Grainger Applied Scientist Interview Questions
The questions to prepare for a W.W. Grainger Applied Scientist interview. Questions from real interview reports rank first. Updated weekly.
Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.
W.W. GraingerDesign a production ML deployment on Google Cloud with serving, feature management, rollout, monitoring, and evaluation.
W.W. GraingerBuild a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.
W.W. GraingerTests understanding of up-sampling concepts and how they affect convolutional model outputs.
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Tests understanding of embedding approaches and their impact on retrieval quality and latency.
W.W. GraingerTests ability to design zero-shot NLP systems for handling new product taxonomy entries.
W.W. GraingerEvaluate whether a recommendation system is improving engagement and ranking quality, not just offline metrics.
W.W. GraingerTests performance troubleshooting for complex SQL with joins and window functions.
W.W. GraingerFind the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.
JPMorganChase
Silicon Valley Bank
NaviCalculate the longest consecutive login streak for each user using window functions and date manipulations.
Chime
ECS
SalesforceUse CTEs, joins, and date functions to compare month-1 retention across rider signup cohorts.
Lyft
Didi Chuxing
Waymo