CodeSubmit Library

R Data Science Assessment

Assess R developers and data scientists with comprehensive evaluations covering statistical analysis, data visualization, and machine learning workflows. Our R assessments test proficiency in tidyverse, ggplot2, and statistical modeling.


Perfect for roles requiring statistical analysis, data visualization, and research-focused development.

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R Programming Excellence

R remains the gold standard for statistical computing and data analysis. Our assessments evaluate candidates' ability to work with complex datasets, create compelling visualizations, and implement statistical models.


Test expertise in dplyr, ggplot2, statistical modeling, and R package development.

The communication between hiring managers, recruiters and candidates has been incredibly improved since we started using CodeSubmit. There is no 'back and forth' anymore and the technical assessment is running smoothly!

Virginie Raucoules
Virginie Raucoules
P&C Manager @ KONUX
Virginie Raucoules

Authentic tasks, not algorithm puzzles.

Take-Home Coding Challenges

Our extensive library of practical coding challenges provides an accurate assessment of candidate programming abilities while delivering a respectful and engaging interview experience.

Authentic engineering challenges:
Coding assessments that mirror real development work, helping top engineering teams recruit more effectively, intelligently, and fairly.
Comprehensive challenge library:
Select from hundreds of programming challenges spanning junior to senior architect levels, supporting all major languages and frameworks -- or create your own custom challenges.
Developer-friendly workflow:
Our innovative Git-based approach enables candidates to code on their preferred machines, using familiar tools, and working at their own pace.
Seamless interview integration:
Transition directly from completed challenges to CodePair live coding sessions for deeper technical conversations and code reviews.
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Example of a take-home coding challenge on CodeSubmit