Infoorigin Data Scientist Interview Questions

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

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Compare Transformers to RNNs and CNNs

Medium

Explain how Transformers differ from RNNs and CNNs for sequence modeling and why self-attention changes training and inference.

Neural NetworksLanguage ModelsDeep Learning

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Ranking Test for App Discovery

Medium

Design an A/B test for a new app-store ranking algorithm, including primary metrics, guardrails, sample size, and launch criteria.

MDEGuardrail MetricsSample Ratio Mismatch

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7-Day Rolling Active Users

Medium

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning Totals

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Python Generators for Large Data

Medium

Tests streaming and memory-efficient processing techniques for large datasets.

memory managementdata integrationBatch Processing

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Statistical Significance for Conversion

Medium

Tests hypothesis testing skills and correct assumptions for interpreting conversion experiments.

Hypothesis TestingStatistical SignificanceP-Values

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Leading vs Lagging Product Metrics

Medium

Tests product analytics thinking and metric selection for actionable decision-making at Infoorigin.

MetricsFeature PrioritizationLeading Indicators

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