Dataford
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Prep plan
Updated weekly · Last refresh Aug 30

Mulligan Funding Data Scientist Interview Questions

The questions to prepare for a Mulligan Funding Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

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1
A/B Testing & ExperimentationStart here. 3 questions · ~26 min
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchMulligan Funding
Design an Installment-Flow ExperimentMedium

Design an A/B test for a new checkout installment-flow feature, including metrics, power, guardrails, and a disciplined ship decision.

ExperimentationHypothesis TestingA/B TestingMulligan Funding
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2
Product Sense5 questions · ~43 min
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueMulligan Funding
Improving Retention in FintechMedium

Tests product thinking and ability to connect analytics to retention levers.

strategiesMulligan Funding
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3
Machine Learning4 questions · ~34 min
MLOps for Deployment and MonitoringMedium

Tests practical MLOps skills for production model reliability and observability.

monitoringmlopsMulligan Funding
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4
Behavioral & Leadership5 questions · ~43 min
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5
More topics5 questions · ~43 min
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice

Calculate the monthly spending trends for customers using window functions and joins.

Mulligan Funding
Monitoring Credit Strategy MetricsMedium

Tests knowledge of production monitoring metrics for risk, stability, and business impact.

performance metricsMulligan Funding
Statistical Significance in A/B TestsMedium

Tests understanding of inference and how it guides experiment decisions.

Hypothesis TestingStatistical SignificanceA/B TestingMulligan Funding
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Top Agents by Recovery Rate SQLMedium
Practice
Practice drill

Rank Paytm collection agents by last-month recovery rate using joins, aggregation, a CTE, and date filtering.

sql queryData Analysisperformance metricsPaytm
Top Shoppers by Fulfillment TimeMedium
Practice
Practice drill

Rank Instacart shoppers by average fulfillment time over the latest 30 days using joins, aggregation, and RANK().

sql queryData Analysisperformance metricsInstacart
The finish line: interview-readyComplete all 22 questions plus 2 hands-on drills to finish this plan.