Dataspace Blog

Enjoy semi-regular posts on topics related to data talent acquisition and data science in general, from the recruiters and analytics experts at Dataspace.

New Win: Senior Data Engineer Placement for Insurance Company.

We’re proud to celebrate another successful placement for our client. A 200-year-old insurance company came to us as they built out their data science capabilities. They needed a senior-level data engineer to step into a highly specialized Head of Data Architecture role—a hybrid position in Florida designed to balance on-site collaboration with flexible remote work, […]

New Win: Senior Data Engineer Placement for Insurance Company. Read More »

An modern office with a robot and a man working. The picture represents the concept of AI readiness.

Wondering if Your Data Is Ready for AI? What AI Readiness Really Means

Artificial intelligence (AI) is everywhere right now. From chatbots that draft emails to predictive models that optimize supply chains, organizations are eager to harness its power. But here’s the hard truth: if your data isn’t ready, your AI won’t be ready either. At Dataspace, we often say: To get to AI, you’ve got to get

Wondering if Your Data Is Ready for AI? What AI Readiness Really Means Read More »

An illustration looking down a recruiter at a large desk, surrounded by data science resumes.

Too many resumes? How to navigate the surge of applicants for data science roles.

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

Too many resumes? How to navigate the surge of applicants for data science roles. Read More »

AI-generated 3D cartoon of a woman and a robot sitting at a desk for an interview.

What’s the catch with AI recruiting tools? A very subjective review by a very human recruiter.

AI tools are rapidly being developed for integration into daily life across domains, and recruiting is no exception. Even during the course of writing this blog post, it seemed as if the number of AI-enhanced products specifically for recruiting was growing by the hour. The overall vibe in the tech community is one of excitement

What’s the catch with AI recruiting tools? A very subjective review by a very human recruiter. Read More »

Sh%t you shouldn’t have to deal with when hiring data talent: fraudulent resumes.

Recruiting for data science roles in the digital era is not for the faint of heart. Over the past couple of decades, resume fraud has grown distressingly ubiquitous. With so many recruiters relying (perhaps a bit too heavily) on applicant tracking systems (ATS) to screen candidates, unscrupulous job seekers have adapted, using techniques, such as

Sh%t you shouldn’t have to deal with when hiring data talent: fraudulent resumes. Read More »

A person reviewing a resume. Data Science Resume Screening Tips

Data Science Resume Screening Tips: Red, green, and beige flags to help you filter through the noise. 

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

Data Science Resume Screening Tips: Red, green, and beige flags to help you filter through the noise.  Read More »

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