IQN Tackles Data Scientist Shortage with New IQN Connect Ecosystem Partner: The Data Incubator

You are known by the company you keep” is one of those sayings we all hear growing up. While I may have rolled my eyes at my teachers’ and parents’ warnings, I later discovered they were right. Like it or not, we are all judged not only on our own merits, but also on the actions and abilities of our associates. Fortunately, the recent addition of The Data Incubator to our IQN Connect ecosystem puts IQN, our customers and our other partners in excellent company, indeed!

A Cornell Tech funded training and placement organization, The Data Incubator is leading the charge on data science education, a critical business need. As organizations of all sizes increasingly invest in enterprise-level advanced analytics, experts say that demand for data scientists is exceeding supply:

  • International Data Corporation (IDC) predicts a need for 181,000 people with deep analytical skills in the U.S. by 2018, along with a requirement for five times that number of positions with data management and interpretation capabilities.1
  • Research from The 2016 Data Science Report spotlights the talent deficit with 83 percent of respondents saying that there weren’t enough data scientists to go around, up from 79 percent reported in 2015.2

Here’s where The Data Incubator is stepping up to fill the void. Our newest alliance enables IQN users to gain on-demand access to an exclusive talent pool of PhD data scientists—sourced, screened and trained for a career in big data. As the only Vendor Management System (VMS) provider formally aligned with The Data Incubator, we are proud to provide our customers and MSP partners with the competitive advantage of first-access to a ready-for-work talent pool.

Employing the brightest minds in data science is critical for effectively leveraging big data. IQN learned this first-hand with our release of ATOM (Automated Talent Ontology Machine), the first and only cognitive intelligence engine for non-employee labor. Combining innovative machine intelligence with our extensive human understanding of talent management needs, ATOM delivers previously unachievable industry benchmarks on job titles, rates, and time‐to‐fill—all driven by scalable data visualization and real‐time predictive analytics.

Now our partnership with The Data Incubator builds on our commitment to advanced analytics and big data by providing your teams with seamless access to a highly specialized data science talent source. Selective about the company they keep as well, The Data Incubator admits less than two percent of the advanced-degree data scientists who apply to their eight-week fellowship program. Following in-depth and hands-on training on the latest engineering, statistical and business skills, fellowship graduates have a three-month commitment to The Data Incubator for job placement. This gives your team a head start recruiting from these freshly trained data scientists; ahead of companies and staffing suppliers not aligned with The Data Incubator.

Discover how IQN’s partnership with The Data Incubator can elevate the company you keep by reading the press release, downloading the partner spotlight or contacting me at

“In our commitment to train the world’s top PhD data scientists, and place them with full-time and contingent opportunities, our team has worked with hundreds of companies, including LinkedIn, Capital One, eBay, The New York Times, AIG and Pfizer. Our partnership with IQN enables us to extend our services to IQN customers who can save time and money procuring the best and the brightest minds available in data science today.” Michael Li, Founder and CEO, The Data Incubator.



1 Analytics Trends 2016: The Next Evolution, Deloitte Consulting LLP, 2016

2 2016 Data Science Report, CrowdFlower, 2016

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