DOWNLOAD THE DATA SCIENCE HIRING GUIDE

A REPORT COMPILED BY THE TOP DATA SCIENCE RECRUITMENT SPECIALISTS. WE COVER IN-DEMAND SKILLS TO CONSIDER WHEN HIRING A QUALIFIED DATA SCIENCE CANDIDATE.

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Hiring Top Data Science talent can be extremely difficult. This is Why We Created a Comprehensive and Effective Data Science Hiring Guide, Which Will Help You Perform a Strategic Hiring Process.

TOP SKILLS A DATA SCIENCE CANDIDATE SHOULD HAVE

WITH HUNDREDS OF RESUMES IN YOUR INBOX, HOW DO YOU FIND THE RIGHT DATA SCIENCE CANDIDATE WITH THE RIGHT SKILLSET?

Thousands of IT candidates have the title “data scientist” attached to their resume, but not all are qualified enough to meet the demands of your open niche role. It can be difficult to pinpoint who’s qualified and who’s not, especially when anyone can call themselves a data scientist these days. 

Some candidates may lack the specific skillsets that your organization is looking for. 

To add to this problem, in 2018, LinkedIn reported a shortage of 151,717 data scientists, which makes it even difficult to hire a qualified candidate with a specialized skillset. 

So, how do you overcome this Catch-22 obstacle? 

Download our Data Science Hiring Guide to find out what skillsets to look for when sourcing a niche IT candidate. Here’s a sneak peek of what the report covers: 

COMMUNICATION SKILLS AND A BUSINESS-SAVVY MINDSET 

There’s a lot of technical information to process and translate into the field of data science. Having a technical skillset is great, but it also helps to have a data scientist that is able to effectively communicate complex concepts and translate data into something that’s easily digestible to the public. 

Not everyone will understand the highly technical processes of a data scientist. This is why it’s vital they possess communication and business acumen skills to discuss their findings and data insights with stakeholders. 

FINDING A CANDIDATE WITH MASTER PRODUCTION LEVEL CODING 

Before you hire your next data scientist, it’s important to take a step back and figure out what type of data scientist you need on your team. It’s best to figure out the specialty you need before you begin the recruiting process, only to realize you actually need other skillsets. More recently, there has been a growing demand for data scientists that are well versed in all areas of the field, including the need for writing production-level code that is modular, readable, tested, and optimized. 

A PROFICIENT UNDERSTANDING OF TECHNOLOGY TOOLS 

You want to make sure your data science candidate knows the basic programming languages: Python, R, and SQL. An IT niche candidate who has additional technology tools and programming languages up their sleeve can provide even more value to your organization. Lastly, it’s important to work with a data scientist who is willing to learn and grow in their roles.