Talent Acquisition

In the current economic climate, hiring managers face an unprecedented influx of applications for any open role. Companies today receive far more resumes than in the past. Ben Taub, CEO of Dataspace, explains that this trend is driven by two main factors: an extremely competitive technology job market as organizations cut back after bulking up […]

It’s that time of year in Ann Arbor when the leaves start to look a bit less green. When it’s a little harder to get a table downtown on a Friday night. When every store is reminding you of “Back to School Savings” on lots of stuff that nobody really needs in the first place.

It seems like there are more candidates than ever before applying for open data science roles. Unfortunately, many—if not most—of those candidates are simply not qualified. So, how do you screen through all of those data science resumes quickly and effectively? We’ve collected some of our best tips to cut through the noise of an

As a recruiter, I know that an applicant tracking system (ATS) is one of the most important tools for success. At Dataspace, we rely on our ATS system, HireHive, on a daily basis. During one of our weekly meetings, we had a discussion about what features we felt were missing in our current system and

Over the years, our data talent recruiting team here at Dataspace has honed our technique for finding and connecting with the best possible data science candidates to meet our client’s needs. As LinkedIn has grown and evolved as the primary space for online recruiting efforts, we have needed to develop platform-specific outreach strategies that are

In the recruiting world, LinkedIn is perhaps the most commonly used platform to connect with potential candidates and build up a recruiting pipeline. But how do you find the strongest candidates for the role you’re recruiting for? Our team of data science recruiters has developed some LinkedIn-specific best practices that allow us to find promising