NEW YORK, NY--(Marketwired - Jun 23, 2015) -
Will present the complimentary webinar, "Hiring Hacks: How Sift Science Tackled University Recruiting (and how you can too!)."
Wednesday, June 24, 2015 at 1:00 p.m. EDT (12:00 p.m. CDT / 11:00 a.m. MDT / 10:00 a.m. PDT)
Registration for the webinar is available at: http://hubs.ly/y0R-vf0.
School may be out for summer, but for recruiters, their work has just begun. Identifying when, where and how to recruit top talent requires more than just a walk on campus. In order to source and recruit students and recent graduates, employers need to spend the time targeting their approach to ensure this talent pool becomes engaged and excited about taking the next step.
Hosted by Greenhouse and Piazza, "Hiring Hacks: How Sift Science Tackled University Recruiting (and how you can too!)" will show attendees how a dedicated university recruiting initiative can improve talent acquisition strategy overall. During the webinar, Sift Science recruiter Lynda Phan will share details of her team's successful university recruiting program. In addition, Phan will explore other creative ways Sift Science fights for top talent on campus, including sought-after engineering candidates. Attendees will learn how technology and data can improve campus recruiting efforts and help their organization make better recruiting and hiring decisions.
Human resource professionals, recruiters and hiring managers who are interested in learning how to improve their university recruiting strategy are encouraged to attend this webinar. More information can be accessed at: http://hubs.ly/y0R-vf0.
Since 2010, Piazza has grown into one of the world's largest learning platforms, with over a million course enrollments per year. Quite simply, they have changed the way students and professors collaborate outside the classroom. They're now revolutionizing college recruiting by connecting the most innovative companies directly with their students using the Piazza platform.
About Sift Science
Sift Science fights fraud with large-scale machine learning. Machine learning lets a computer program recognize patterns of fraudulent behavior based on past examples. What makes large-scale machine learning unique is the resolution of patterns learned. Our system has learned over one million fraud patterns and counting, including specific page navigation sequences, IP ranges, email address patterns, graph connectivity structures, browser configurations, and even writing styles that predict fraudulent activity. Fraudsters adapt rapidly, so the system learns how normal users behave on your site, and detects anomalous users -- who are often fraudsters with brand new attack patterns.
Greenhouse Software is a recruiting optimization platform that helps companies source, interview and hire the best talent. Located in San Francisco and New York City, Greenhouse was founded by Daniel Chait and Jon Stross. Greenhouse currently works with companies like Airbnb, Pinterest, Riot Games and more. To learn more or request a demo visit greenhouse.io.