Bidgely Data Scientist Interview Questions
The questions to prepare for a Bidgely Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
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.
Measure monthly retention for a January Ancestry Family Tree cohort using CTEs and ROW_NUMBER().
AncestryIdentify 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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Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Evaluates your approach to solving a solar disaggregation problem using available features and modeling.
Evaluates your ability to define long-horizon outcomes and attribution for demand-response programs.
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.