Venture capital funded startups, mid-size firms with continual and specific needs, and enterprise members of the Fortune 500 call on RecruitingScience for recruiting their teams of technology, sales, operations, finance, media, marketing, and creative professionals. At RecruitingScience, we endeavor to be among the most informed of recruiters, the reasoning behind why we practice data-driven recruiting for our clients. We go beyond the industry standard approach of matching keywords to identify available candidates for an open job. Conventional search is only a small piece of our hiring equation, decreasing the time it takes for us to identify, engage and deliver interested and qualified Candidates.
Our clients span 5 continents and include Incubators & Accelerators, R&D Labs, SaaS platform technology companies, big box ecommerce and physical store retailers, ad tech & MarTech platforms, advertising agencies, software development studios, data analytics solution providers, and FinTech and banking multinational corporations including multiple Fortune 50 companies, along with a diverse set of Angel and VC funded startups.
Candidates range from C-Level Executives, VP & Director Level Supervisors and Managers, as well as team contributors including Full Stack, Front End & Backend Software Engineers, Systems Engineers & DevOps, Computational & Big Data Machine Learning Engineers, Research Scientists, Data Scientists, and specialized roles for Blockchain & DLT, Computer Vision, Speech Processing, Deep Learning, and other Artificial Intelligence technologies.
RecruitingScience’s innovative Predictive Recruiting™ AI platform provides our Recruiting Managers with the competitive advantage and strategic insight they require to service the increasing demands of our clients as they achieve business success. Our data-driven methodology of Predictive Recruiting allows us to anticipate hiring needs and respond with agility when asked to fill open positions, assemble a team, or present seasoned professionals and leaders of industry with extreme subject matter expertise.