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MarketCast Data Scientist Interview Questions

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

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1
MetricsStart here. 3 questions · ~28 min
Designing an Engagement Product MetricHard

Design a defensible NPCI user engagement metric that captures meaningful usage, repeat behavior, and product value.

product metricsKPI developmentmetric selectionMMarketCast
Diagnosing a 10% Metric DropHard

Build a systematic process to validate, decompose, and explain a sudden 10% drop in core engagement.

root cause analysisDiagnosisdiagnostic processMMarketCast
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2
A/B Testing & Experimentation3 questions · ~28 min
Statistical vs Practical SignificanceMedium

Explain how statistical significance differs from practical significance and how both affect an A/B test decision.

MDEGuardrail MetricsStatistical SignificanceMMarketCast
Avoid Pitfalls in Online ExperimentsHard

Explain common online experimentation pitfalls and how to design, analyze, and decide in ways that avoid false wins.

Network InterferenceNovelty EffectSample Ratio MismatchMMarketCast
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3
Behavioral & Leadership3 questions · ~28 min
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4
More topics4 questions · ~37 min
SQL Window Functions for Rolling MetricsHard
Practice

Calculate each user's 7-day activity average and rank users within their cohort using PostgreSQL window functions.

Window FunctionsDate FunctionsData ManipulationMMarketCast
Balance Short-Term and Long-Term ValueHard

Explain how to optimize near-term product outcomes without sacrificing long-term user trust, retention, and value.

product metricsTrade-offsFeature PrioritizationMMarketCast
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceMMarketCast
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualityMMarketCast

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
SQL Window FunctionsHard
Practice
Practice drill

Calculate monthly user totals, running totals, and time-based rankings with PostgreSQL window functions.

Window FunctionsDate FunctionsData ManipulationTThoucentricTTiny Hands Tiny Toes Learning CenterCCentre for Applied Data Analytics Research
Running Total and User RankingMedium
Practice
Practice drill

Calculate user revenue running totals and daily rankings using PostgreSQL window functions.

Window FunctionsDate FunctionsData ManipulationCCourseraUUKTVCertiK
The finish line: interview-readyComplete all 13 questions plus 2 hands-on drills to finish this plan.