Uber Drivers Applied Scientist Interview Questions
The questions to prepare for a Uber Drivers Applied Scientist interview. Questions from real interview reports rank first. Updated weekly.
Build an imbalanced binary classifier for payment fraud detection using cost-sensitive learning, threshold tuning, and precision-recall evaluation.
Uber DriversTests feature engineering, modeling approach, and evaluation for driver acceptance prediction at Uber Drivers.
Uber DriversTests pre-experiment diagnostics to ensure valid causal comparisons for Uber Drivers marketplace experiments.
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Tests system modeling and operational decision-making for Uber Drivers during demand and supply shocks.
Uber DriversTests applied NLP modeling and operationalization for Uber Drivers support workflows.
Uber DriversTests performance engineering for large-scale spatial analytics on Uber Drivers data.
Uber DriversTests algorithm design for batching decisions that improve Uber Drivers delivery efficiency.
Uber DriversTests metric design and evaluation for Uber Drivers supply-demand balancing.
Uber DriversCompute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AIAggregate January 2024 campaign data by channel using GROUP BY, filtering, and ordering by total clicks.
DNV
Eversana
DiscordUse a LEFT JOIN and GROUP BY to count employees in every Auto-Owners Insurance department, including departments with zero employees.
Auto-Owners Insurance
Synchrony Financial