Data science is a rapidly growing field, and Data Scientist, one of the most in-demand jobs in the world. As demand for Data Science candidates grows, identifying and hiring the best candidates is increasingly challenging as well as competitive.
Today, we’re launching HackerRank Projects (previously known as Role-based Assessments) for Data Science to give hiring teams the power to identify and assess top Data Science candidates through project-based, real-world challenges.
We’re also hosting a webinar to cover best practices for assessing data scientists. Register here!
Here’s what it includes:
New real-world challenges to assess key Data Science skills
We created a new set of real-world challenges that focus on assessing key skills strong Data Scientists need. These include:
- Data Wrangling
- Modeling
- Data Visualization
- Machine Learning
Learn more about our new Data Science questions here.
Pre-designed ready-to-go Data Science tests
To simplify Data Science hiring and to provide a complete yet comprehensive test experience, we are releasing new pre-designed screening tests for the Data Scientist role.
These tests have 1 Data Science question and 1 Database question. Recruiters and Hiring Managers can create these tests through our test creation wizard and start inviting candidates right away.
Learn more about creating a test here.
Better candidate experience through Jupyter Notebook support
The HackerRank Projects platform now comes with specially tailored features to create a better experience for Data Science candidates. By enabling support for Jupyter, the most widely used environment in the Data Science community, we’ve ensured candidate experience while solving a Data Science question is seamless!
Candidates can use an embedded Jupyter Notebook for solving Data Science challenges within HackerRank. This Data Science-specific environment makes it easier for candidates to showcase their skills in a familiar setting. Since Jupyter is built specifically for Data Scientists, this option makes for great candidate experience.
Learn more about answering a Data Science question here.
Candidate reports for Data Science
Additionally, in order to improve candidate assessment, we have updated candidate reports for Data Science questions. The updated reports enable Hiring Managers to run the Jupyter Notebooks submitted by candidates with the click of a button. We also provide a preview of the Notebook for easy consumption and the ability to download the entire candidate solution at once.
Learn more about Data Science test reports and how to evaluate them here.
Effective Screening with HackerRank Projects for Data Science
We’re inviting you to join us for our upcoming Data Science webinar!
We’ll cover best practices for assessing Data Scientists, including how to leverage HackerRank Projects to assess for data wrangling, building models, data visualization, machine learning, and more.
Join the Webinar here.