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Updated weekly · Last refresh Oct 17

Pra Health Sciences Data Scientist Interview Questions

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

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1
Model EvaluationStart here. 3 questions · ~24 min
Optimize Production Model PerformanceMedium

Approach for improving a production AI model using evaluation, threshold tuning, calibration, and targeted error analysis.

PrecisionAccuracyRecallPra Health Sciences
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2
Machine Learning4 questions · ~32 min
Math Behind LLMsMedium

Assesses your comfort with the mathematical foundations of large language models.

llmPra Health Sciences
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3
SQL & Data Manipulation4 questions + 3 drills · ~62 min
SQL and SAS QueryingEasy

Tests your ability to query and manipulate data using SQL and SAS in a healthcare context.

sqlPra Health Sciences
Handling Missing Data in Clinical DatasetsMedium

Tests your practical data cleaning and robustness strategies for sensitive healthcare data.

data cleaningPra Health Sciences
SQL Deduplication for Longitudinal DataHard
Practice
Practice drill

Identify duplicate patient records, migrate study visits, and delete duplicates while preserving longitudinal data integrity.

deduplicationdata cleaningdata managementPra Health Sciences
Consecutive Activity Days QueryMedium
Practice
Practice drill

Identify each user's consecutive website activity streaks using date arithmetic and SQL window functions.

Window FunctionsDate FunctionsData ManipulationIntuit Management ConsultancyChewySuperhuman
Scenario-Based Business CaseHard
Practice
Practice drill

Aggregate project outcomes and present a defensible SQL-based business case analysis.

project experienceJoinsbusiness problemTikTok
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4
Statistics & Probability3 questions · ~24 min
Core Statistics for ModelsMedium

Evaluates your understanding of core statistical methods and how you apply them to modeling.

linear regressionTime SeriesPra Health Sciences
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5
Behavioral & Leadership11 questions · ~88 min
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6
More topics6 questions · ~48 min
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 MismatchPra Health Sciences
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityPra Health Sciences
Diagnosing Drops in Clinical KPIsMedium

Tests your troubleshooting approach using data slicing, root-cause thinking, and metric decomposition.

DiagnosisPra Health Sciences
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The finish line: interview-readyComplete all 31 questions plus 3 hands-on drills to finish this plan.