Top 31
Prep plan
Updated weekly · Last refresh Oct 17

BILL Data Scientist Interview Questions

The questions to prepare for a BILL Data Scientist interview. Questions from real interview reports rank first. Updated daily.

31questions
~4htotal time
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1
A/B Testing & ExperimentationStart here. 4 questions · ~34 min
2
SQL & Data Manipulation3 questions + 2 drills · ~46 min
3
Product Sense3 questions · ~26 min
Build an Engagement FeatureMedium

Approach for identifying, prioritizing, and launching a new feature that increases user engagement.

Feature PrioritizationUser NeedsUse CasesBILL
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4
Statistics & Probability3 questions · ~26 min
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesBILL
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5
Machine Learning5 questions · ~43 min
Prevent Overfitting in ML ModelsEasy

Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationBILL
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6
Behavioral & Leadership9 questions · ~77 min
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7
More topics4 questions · ~34 min
Define a Fintech North Star MetricMedium

Define a North Star Metric for a consumer fintech product and connect it to retention, activation, and value creation.

North Star MetricLeading IndicatorsEngagement MetricsBILL
Choosing Classification Evaluation MetricsEasy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallBILL
End-to-End Fraud Detection SystemHard

Assesses system design skills for production fraud detection in a financial transaction environment like BILL.

Feature StoreFeature DriftModel ServingBILL
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The finish line: interview-readyComplete all 31 questions plus 2 hands-on drills to finish this plan.