CodeSubmit Library
Data Science Coding Assignments on CodeSubmit
Hiring Data Engineers? Send your candidates a data science and engineering hiring test to complete at their own pace using their own coding environment, tools, and best practices.
Or invite them to a live CodePair session and work on Jupyter notebooks with support for all popular ML frameworks. CodeSubmit provides a library of real-world data science and engineering coding tests and a best-in-industry candidate experience.
Identify Top Data Science and Engineering Candidates
Evaluate for on-the-job skills
Your data science candidates should have a strong understanding of data science concepts, data analysis, and business intelligence tools. CodeSubmit makes it easy to create and evaluate data science take-home coding challenges.
Choose from our library of real-world assessments or upload your own. Quickly and accurately identify qualified candidates, and hire the right person for the job!
Provide an excellent candidate experience
Technical interviews can be frustrating and intimidating for developers. Take-home coding challenges help you create a better candidate experience. Our data science and engineering coding assignments are challenging but fun!
Build a reputable employer brand and attract top technical talent to your open roles.
How it works
Setting up an asynchronous technical interview process is easy with CodeSubmit. Create an account, choose an assignment from our library or upload your own, and immediately begin inviting candidates.
Our suite of review tools makes it easy to review candidates and identify top performers.
Git Tree Review Flow
How CodeSubmit turns a repo into a review map
CodeSubmit does not jump from a Data Science & Engineering take-home straight to a thumbs-up or thumbs-down. The review flow starts by mapping the full git tree, then filtering obvious generated and vendor noise so reviewers get a fair file map before deeper review begins.
File listings alone do not decide anything. The tree is the map, then reviewers read the README, manifests, and top-modified files that explain how the submission works before they turn it into a candidate-friendly take-home review and a sharper CodePair follow-up.
File listings are discovery, not evidence. Generated and vendor noise gets filtered so the review starts from candidate-authored work.
The result is a cleaner handoff for hiring teams: concrete paths to inspect, stronger AI summaries, and live follow-up topics that stay anchored to the repo.
Complete Your Technical Assessment
Pair Take-Home Tests with Live Coding
Combine Data Science & Engineering take-home challenges with live CodePair sessions. Watch candidates walk through their solution, ask follow-up questions, and see how they handle real-time problem solving.
Perfect for assessing both independent work quality and collaborative coding skills in a single hiring pipeline.
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!
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:
