Report

A Go-To Guide for Hiring Spatial Data Scientists

Essential tips for finding the right talent in an increasingly competitive market.

The need for location-based data insights is greater today than ever before. As a result, spatial data science is a rapidly growing discipline across a wide range of industries in both the private and public sectors as well as in academia.

Unfortunately, the number of available spatial data scientists for hire has not kept pace with the growing demand for this kind of work. In other words, top notch spatial data talent is hard to come by—and companies today looking to hire them are now facing a number of challenges when it comes to finding, recruiting, hiring, and onboarding the right talent for their business.

In this guide, co-authored by CARTO (leaders in Location Intelligence) and SafeGraph (leading location data experts), we provide best practices that you can put to work immediately to ensure your organization is ready to hire the industry’s best spatial data scientists.

The report contains:

• The current state of hiring in the spatial data science world
• Tips for how organizations can find and recruit qualified spatial data scientists & top 5 best practices for hiring the right data science talent
• Examples of a job description and take home tests to use in your hiring efforts