HackerRank Projects for Data Science
August 29, 2019
Projects for Data Science is an industry-first solution empowering
recruiters and hiring managers to hire strong data scientists. For the
first time, enterprises can assess data science candidates on the
specific skill sets they need to succeed—from statistics to data
wrangling, machine learning, data visualization, modeling, and
more—through real-world challenges in the Jupyter Notebook, the most
widely used development environment built specifically for data
The demand for data scientists has grown 256% since 2013, but two
important factors hinder businesses from filling these roles.
Firstly, data science is a field with cross-disciplinary skill
requirements, so companies need to seek candidates beyond those with
traditional software development backgrounds. Nearly 60% of data
scientists learned their skills outside a university, and about 55% of
them come from backgrounds including physics, mathematics, and biology.
This diversity of background makes it difficult for hiring managers and
recruiters to standardize the recruiting process and know which skills
to prioritize in their testing.
Secondly, businesses are still learning how to identify the skills
needed for these nascent roles. The terms data scientist, artificial
intelligence engineer, and machine learning engineer are often used
interchangeably, adding more confusion to defining the roles. This makes
it challenging for employers to differentiate between distinct data
science roles, all of which demand different skill sets. As a result,
they miss out on the quality talent they need.
HackerRank Projects for Data Science solves both of these problems. The
platform not only allows companies to evaluate a diverse talent pool
against a standardized skill rubric, but also offers employers a
real-world environment to test data science roles.
"With exponential growth in big data and companies using data to better
serve customers across industries—from recommendations on your TV to
autonomous driving in vehicles—the demand for skilled data scientists
will continue to grow," said Vivek Ravisankar, CEO and co-founder of
HackerRank. "HackerRank has changed the way enterprises hire software
developers—now, we're bringing the same much-needed functionality to
data science. This product will help close the gap between the
expectations and needs of employers, allowing them to more easily
identify and recruit the data science talent they need to ship
HackerRank Projects for Data Science enables enterprises of all sizes
advanced skills tailored specifically to data scientists. HackerRank
Projects for Data Science assesses candidates on their proficiency in
data wrangling, building models, machine learning, and data
visualization, and offers specific skill rubrics for different data
•Standardize the data science
hiring process. By predetermining the skills needed for a successful
data scientist, companies can evaluate candidates across the same skill
rubric, ensuring a consistent hiring bar.
•Simulate real-world job
environments. HackerRank Projects for Data Science supports the Jupyter
Notebook, the most widely used development environment built
specifically for data scientists. This ensures a great candidate
experience and an accurate showcase of candidate skills.