Dataspace

Dataspace

人才中介

Ann Arbor,MI 1,632 位关注者

Expert Data Talent, Vetted by Data Experts.

关于我们

Meet Dataspace. We vet data and analytics talent better than anyone. ?? Spend 80% less time on candidate search & screening ?? Trust our tech screen: only 1 – 2% make it to you ?? Hire data talent that fits your business & culture Dataspace is a full-service staffing agency focused solely in sourcing talent in data analytics, data engineering, and data science. When you need to hire data professionals with a specific set of skills, industry experiences, or technical knowledge, our ability to locate top-notch candidates is unparalleled.

网站
https://www.dataspace.com
所属行业
人才中介
规模
2-10 人
总部
Ann Arbor,MI
类型
私人持股
创立
1994
领域
Data Science Staffing、Data Science Recruiting、Data Scientist Contractors、Data Engineer Contractors、Data Analyst Contractors、Data Engineer Recruiting、Data Analyst Recruiting、Data Engineer Staffing、Data Analyst Staffing、Analytics Staffing、Data Talent、Data Jobs、Data Analytics Staffing、Business Intelligence Staffing、Business Intelligence Recruiting和Business Intelligence Contractors

地点

  • 主要

    206 South Fifth Avenue

    Suite 400

    US,MI,Ann Arbor,48104

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Dataspace员工

动态

  • 查看Dataspace的公司主页,图片

    1,632 位关注者

    When it comes to modern recruiting platforms, it seems like AI can do it all: sourcing, communications, scheduling, even performing interviews! Our very human recruiter, Katie, had a very human question: so what’s the catch? And she set out to answer it. In our latest blog post Katie explores the tradeoffs between the promises of AI recruiting tools and the reality of their use: AI can do recruiting tasks faster. But, faster at what cost? High-quality tools AI that can attempt to meet their lofty expectations are wildly expensive.?? AI can source more and better-qualified candidates. More maybe, but how are they doing it, and do the candidate even know? Without more transparency in sourcing, this claim leads only to more questions. AI makes communication between candidates and recruiters more efficient. But, does it really? Sure it’s automatic and quick, but it’s also depersonalizing–the exact opposite of what you want when you’re trying to get to know someone. AI reduces bias in the hiring process. How is recruiting any different here than other debunked claims of eliminating bias? AI intrinsically reflects the bias of it’s creators, who are all too human. It may only perpetuate the problem while giving cover as a solution. Katie explores these questions and more in her in-depth article, available on our blog. Link in comments.?? We’d love to hear what you think! What tradeoffs have you seen with AI recruiting tools? What questions do you have about its use in the hiring process?

    • An illustration of a recruiter sitting at her desk with a small robot next to her. The image represents the use of AI tools in recruiting.
  • 查看Dataspace的公司主页,图片

    1,632 位关注者

    It's your last chance to play along! Can you find the suspicious elements on this data science resume? ??♀? While data science recruiting is definitely more of an art than science, we would be completely remiss if we let something this questionable make it to our clients. 4. Um, just no. Sometimes we see a resume that is so bad, top to bottom, that we are left completely baffled. Case in point is this recent submission for a data engineer role. At first glance, you may think it’s a comparatively sharp-looking resume, concise and well-formatted. But it doesn’t take long for the cracks to start revealing themselves. Besides the fact that the candidate’s name didn’t match the one they put on the application questionnaire, several other items make this resume super red-flaggy. See how many you can spot. Answer in the comments.

  • 查看Dataspace的公司主页,图片

    1,632 位关注者

    Gather 'round for another spine-tingling case of data science resume fraud. ?? There are three applicants to consider, but one is not who they seem... ?? See if you can unmask the fraud. ?? 3. One of these answers is not like the others. Most applications for data science roles include a series of questions for the candidate to answer. Usually, these are designed to provide a more complete understanding of the individual and ensure key requirements of the role are addressed. It’s disheartening how frequently these questions are ignored altogether. But, even applicants who answer them can do more harm than good when they choose to post fraudulent information. Below are 3 actual answers we received to a question about key strengths for a platform engineer role. See if you can pick out the one that left us shaking our heads. Find the answer and a link to the full blog post in the comments.

  • 查看Dataspace的公司主页,图片

    1,632 位关注者

    Can you find the fraud in this data science resume? ??? Many hiring managers we talk to are sick of weeding through crappy resumes with obvious problems. At Dataspace, we simply don't submit questionable resumes to our clients. Curious if you’ve got what it takes to identify a fake resume? Below is an example of resume fraud, taken directly from a real application. Read carefully and see if you can tell what makes it questionable. 2.?Bullets that are actually a smoking gun. Similar to the skills section, candidates also seem to believe that more is always more when it comes to describing their work experience. On the contrary, we recommend candidates use 4 – 7 well-crafted bullet points to describe what they actually did in the role. Resumes with lengthy bulleted job duties are almost guaranteed to set off our Scooby senses. Here’s a blurb from the work experience section of a resume we received for an application developer position. See if you can pick out which bullets made us question this person’s experience. Find the answer and a link to the full blog post in the comments.

  • 查看Dataspace的公司主页,图片

    1,632 位关注者

    Test your BS-sniffing skills! ??♂? See if you can find the questionable elements on this resume. Many hiring managers come to us frustrated by the sheer volume of crappy resumes they have to weed through just to find the few good ones. We've come up with a simple, yet effective, technique to eliminate untrustworthy resumes: we actually read them. Curious if you’ve got what it takes to identify a fake resume? Below is an example of resume fraud, taken directly from a real application. Read carefully and see if you can tell what makes it questionable. 1. Beefed up skills (with no meat). A lot of data science job applicants seem to believe it’s important to have as many bullet points as possible on a resume. As recruiters, we beg to differ. The “skills” section on many resumes has become a dumping ground for listing any and every technology the candidate has ever touched.?While we certainly recommend highlighting competencies toward the top of a resume, candidates should focus on their core strengths that are relevant to the role. Here’s the first page of a resume we received for a data engineer role. Right from the start you can see there are way too many skills listed—they take up the entire first page (and actually spill over onto the second). But look a bit closer; see if you can find anything else wrong with the items on the list. An explanation of the answer is posted in the comments, along with the link to the full blog post.

  • 查看Dataspace的公司主页,图片

    1,632 位关注者

    With a little extra time to keep tabs on social media, Katie found lots of great info on market and hiring trends in our industry. How do you stay active as a recruiter when hiring is slower in the summer?

    • How I spent my summers. (When hiring is slower.) Social Listening - Monitor and track influencers and hot topics in our field. Local Events with Friends - A2SF, running clubs, German PArk, and more!

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