Cohesity Applied Scientist Interview Questions

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

Build a Predictive Model from Data

Medium

Build a supervised model from a dataset, from feature prep through validation and deployment choices.

Cross-ValidationFeature EngineeringSupervised Learning

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Hypothesis Testing in Applied Science

Medium

Tests statistical reasoning and ability to design evidence-based experiments.

Hypothesis TestingStatistical SignificanceP-Values

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Model Performance Evaluation

Easy

Tests your ability to select metrics, validation strategy, and interpret results for ML models.

PrecisionAccuracyRecall

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Optimizing Sorting for Large Datasets

Medium

Explain how to choose and optimize sorting approaches for large datasets based on memory, data distribution, and stability requirements.

ArraysSortingGreedy

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Explain Time Complexity of Array Search

Easy

Explain how to analyze the time complexity of a common array search solution and justify the Big O result.

MathArraysSearching

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End-to-End ML Project

Hard

Tests ability to deliver applied ML from data to production in a real product context.

Feature StoreFeature DriftModel Serving

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