Bidgely Data Scientist Interview Questions
The questions to prepare for a Bidgely Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate each Bidgely user's 30-day rolling average energy consumption with aggregation and window functions.
Use CTEs, joins, and percentile filtering to identify Bidgely users with the highest energy-usage spikes.
Combine joins, aggregations, and window functions to compare conversion and order metrics across A/B test variants.
InstacartIdentify the major pitfalls in mobile game A/B tests and explain how to design around them before making a ship decision.
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Choose sample size and runtime by combining baseline rate, MDE, alpha, power, and expected traffic.
Evaluates your approach to solving a solar disaggregation problem using available features and modeling.
Assesses how you set measurable success criteria aligned to energy-savings product goals.
Tests your ability to frame an NLP or sequence modeling problem from a feature representation perspective.
Evaluates how you translate an energy program goal into measurable metrics and success criteria.