Top 14
Prep plan
Updated weekly · Last refresh Oct 17
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Zima Corp Data Scientist Interview Questions

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

14questions
~2htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 1 drill · ~40 min
Classify Power Users by ActivityMedium
Practice

Use joins, CTEs, and aggregations to classify power vs casual users and compare their engagement metrics.

JoinsGroup ByCase WhenZZima Corp
SQL Window Functions for TrendsMedium
Practice

Calculate three-day rolling user activity averages and classify behavior trends with SQL window functions.

null handlingData ManipulationAggregationsZZima Corp
SQL and Python FundamentalsMedium
Practice
Practice drill

Join two tables and derive palindrome, reversed-substring, and character-frequency results with PostgreSQL.

pandasJoinsData ManipulationHsbc
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2
A/B Testing & Experimentation3 questions · ~30 min
A/B Testing and ExperimentationHard

Explain how you select hypotheses, metrics, sample sizes, randomization, analysis plans, and launch decisions for A/B tests.

experiment designMDEbehavioralZZima Corp
Risks of Peeking in Ride-Share TestMedium

Assess why checking experiment results early can inflate false positives and distort ship decisions.

PeekingExperimentationStatistical SignificanceZZima Corp
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3
Behavioral & Leadership4 questions · ~40 min
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4
More topics4 questions · ~40 min
Explain Statistical SignificanceMedium

Explain statistical significance, p-values, practical importance, and uncertainty to a non-technical stakeholder.

Hypothesis TestingCommunicationStatistical SignificanceZZima Corp
Diagnosing a 10% Metric DropHard

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

root cause analysisDiagnosisdiagnostic processZZima Corp
Define Launch Success MetricsMedium

Approach for choosing launch success metrics, including a north star, leading indicators, and clear success criteria.

Product-Market FitUser NeedsKPIZZima Corp
Diagnose Engagement DropHard

Identify the causes of a quarterly engagement decline through metric validation, decomposition, segmentation, and trend analysis.

MetricsDiagnosisuser engagementZZima Corp
The finish line: interview-readyComplete all 14 questions plus 1 hands-on drill to finish this plan.