Software aims to save recruiters significant amount of time, and find best candidates
15 September 2014
In response to a recent “mass proliferation” of date science jobs in the last couple of years, a California and India-based firm has created software aimed to drastically reduce the amount of time recruiters spend looking for candidates.
Mon, 15 Sep 2014In response to a recent “mass proliferation” of date science jobs in the last couple of years, a California and India-based firm has created software aimed to drastically reduce the amount of time recruiters spend looking for candidates.
ZLemma, founded by Madhav Halbe and Ashwin Rao, mines LinkedIn and job boards, or anywhere someone had posted a CV online, to find the best available candidate for specific roles.
Company UK director Neil Salvi told Recruiter the software uses patent-pending algorithms to sift through thousands of CVs, and ranks each candidate so recruiters can see at a glance who is best for the job.
It scores candidates CVs based on their skills, education and experience at a rate of 500 in a couple of minutes.
Salvi said that effectively ZLemma saves recruiters hours of searching and avoids the best candidates being lost due to “resumé fatigue”.
He said often, the best candidates may be several pages down on LinkedIn and therefore not be seen by recruiters.
It also “broadens the gates” by, for example, providing candidates from a range of universities, depending on who their supervising professor was, even when a recruiter is looking specifically for a top-tier university graduate.
It is focused on the tech sector but there are plans to extend the offering to other sectors.
It is already being used by big Silicon Valley and Wall Street firms in the US, and is being rolled out in the UK.
ZLemma, founded by Madhav Halbe and Ashwin Rao, mines LinkedIn and job boards, or anywhere someone had posted a CV online, to find the best available candidate for specific roles.
Company UK director Neil Salvi told Recruiter the software uses patent-pending algorithms to sift through thousands of CVs, and ranks each candidate so recruiters can see at a glance who is best for the job.
It scores candidates CVs based on their skills, education and experience at a rate of 500 in a couple of minutes.
Salvi said that effectively ZLemma saves recruiters hours of searching and avoids the best candidates being lost due to “resumé fatigue”.
He said often, the best candidates may be several pages down on LinkedIn and therefore not be seen by recruiters.
It also “broadens the gates” by, for example, providing candidates from a range of universities, depending on who their supervising professor was, even when a recruiter is looking specifically for a top-tier university graduate.
It is focused on the tech sector but there are plans to extend the offering to other sectors.
It is already being used by big Silicon Valley and Wall Street firms in the US, and is being rolled out in the UK.
