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Updated weekly · Last refresh Aug 30

Evidation Health Data Scientist Interview Questions

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

50questions
~7htotal time
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1
Model EvaluationStart here. 5 questions · ~41 min
2
Statistics & Probability8 questions · ~66 min
Power Analysis for Experiment PlanningMedium

Reason about power analysis when planning an experiment and choosing sample size.

ExperimentationPower AnalysisSample SizeEvidation Health
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3
Pipelines7 questions · ~58 min
Backfilling Missing Pipeline DataMedium

Approach for safely backfilling missing data while preserving correctness, idempotency, and data quality.

ETLQualityEvidation Health
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4
SQL & Data Manipulation7 questions + 3 drills · ~88 min
5
Machine Learning8 questions · ~66 min
Tune Hyperparameters for Model SelectionMedium

Choose hyperparameters with cross-validation and validation metrics, while balancing bias, variance, and overfitting.

Hyperparameter TuningCross-ValidationRegularizationEvidation Health
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6
Product Sense5 questions · ~41 min
Prioritize Features for a New ProductMedium

A framework for deciding which features should ship first when building a new product.

Feature PrioritizationUser Needsproduct developmentEvidation Health
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7
More topics10 questions · ~82 min
Define a Product North StarMedium

Define a North Star Metric for a product and explain how it guides KPI selection and growth decisions.

User SegmentsNorth Star MetricKPIsEvidation Health
Design an A/B ExperimentMedium

Evaluates your approach to designing A/B tests for measurable impact in a health data product.

experiment designEvidation Health
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.