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Updated weekly · Last refresh Oct 17
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ITOrizon Data Scientist Interview Questions

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

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1
Behavioral & LeadershipStart here. 3 questions · ~28 min
Disagreeing With ManagementMedium

Tests conflict resolution, influence, judgment, and ownership when challenging a management decision.

Conflict Resolutionbehavioral interviewaccountabilityIITOrizon
Managing Expectations on a Weak ModelMedium

Tests stakeholder management when financial analysis creates friction, especially around communicating bad news, influencing decisions, and preserving trust.

Stakeholder Managementexpectation managementFinancial ModelingIITOrizon
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2
More topics6 questions · ~56 min
Rolling 7-Day Average by RegionMedium
Practice

Calculate each product-region's rolling 7-day average sales using daily aggregation and calendar-aware windowing.

Window FunctionsDate FunctionsData ManipulationIITOrizon
Design a Success Metric for Supply Chain FeatureHard

Design a primary metric and validation plan to measure whether Bunge's supply chain optimization feature creates measurable business value.

product metricsMetricsfeature evaluationIITOrizon
Diagnose Novelty in UI TestEasy

Explain novelty effect in an A/B test and how it can make an early engagement lift look better than the long-term truth.

ExperimentationNovelty EffectIITOrizon
Investigate Metric DropMedium

Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.

metric selectionDiagnosiskpi hierarchyIITOrizon
Optimizing Slow Queries at ScaleHard

Explain how to diagnose and optimize a slow PostgreSQL query on large Apidel Technologies datasets.

SubqueriesJoinsData WranglingIITOrizon
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 MismatchIITOrizon

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

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

Window FunctionsDate FunctionsData ManipulationTredenceEchostarEliassen Group
7-Day Rolling User Average in SQLMedium
Practice
Practice drill

Calculate each user's seven-day rolling average of daily events using PostgreSQL window functions.

Window FunctionsDate FunctionsData ManipulationBounteousFFreelancerBBoston Tech India
The finish line: interview-readyComplete all 9 questions plus 2 hands-on drills to finish this plan.