Steelcase Data Scientist Interview Questions
The questions to prepare for a Steelcase Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.
SteelcaseTests SQL join semantics and handling of missing data in IoT-style datasets.
SteelcaseUse a LEFT JOIN and conditional aggregation to calculate completed sales totals for every Univar Solutions customer.
Univar SolutionsSteelcaseUse joins, a CTE, CASE expressions, and monthly pivoting to compare Lucid campaign performance across channels.
Lucid MotorsUse CTEs, joins, CASE, and null handling to clean sparse assessment scores and impute missing values per question.
MercorTests metric selection aligned to forecasting risk and business costs.
SteelcaseInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
SteelcaseTests statistical testing choices for detecting meaningful changes in Steelcase workplace utilization metrics.
SteelcaseTests system design for recommendation pipelines, data, modeling, and evaluation in a real product context.
SteelcaseTests experimental design, power considerations, and bias control for workplace interventions.
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