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What to Ask Yourself when Hiring a Data Scientist

In this special guest feature, Aria Haghighi, VP of Data Science at Amperity, discusses several important questions to ask yourself when hiring a data scientist. Hiring data scientists is hard. They’re hard to find since there are fewer trained than can meet demand, and it’s challenging to properly interview and vet them (especially the first in your organization).

AI and the Future of Work

ZipRecruiter released their latest Future of Work report – examining how AI will impact future career opportunities and how humans and technology will work together. Interestingly, the report notes that “the most successful applications of AI have been when used in partnership with humans, rather than as a replacement” – directly contradicting most employees’ fear […]

Addressing Demographic Pay Gaps with Data-driven Solutions

In this special guest feature, Dr. Margrét Vilborg Bjarnadóttir, Assistant Professor of Management Science and Statistics at the University of Maryland Robert H. Smith School of Business, suggests that despite massive cultural and societal pushes for gender equality, the gender pay gap in the workplace remains as strong as ever. Data analysis and visualization could play a vital role in helping to resolve this important issue.

AI Skills — 93% of Organizations Committed to AI but Skills Shortage Poses Considerable Challenge

Most organizations are fully invested in AI but more than half don’t have the required in-house skilled talent to execute their strategy, according to new research from SnapLogic. The study found that 93% of US and UK organizations consider AI to be a business priority and have projects planned or already in production. However, more than half of them (51%) acknowledge that they don’t have the right mix of skilled AI talent in-house to bring their strategies to life.

The Data Talent Market Continues Its Ascent

We’re at an important inflection point in history where a glaring shortage of data-centric skills, coupled with an increasing demand for data professionals, represents a unique opportunity for those willing to make a commitment to “tool up” or “retool” as the case may be, in preparation for a career in analytics. The good thing is, after all the time and effort, the newly acquired skills will keep on giving because the analytics field shall continue to be in favor for a very long time.

Why Big Data Is a Big Opportunity for Employment

In this contributed article, technology writer and blogger Kayla Matthews discusses how the importance of big data expertise couldn’t be more clear — for companies or for job-seekers. Thankfully, a more complete picture is emerging for how we can prepare many more people for a role in this exciting and quickly growing field.

The Role of the Data Scientist is in High Demand. But What Does it Take to Fill the Job?

In this contributed article, Rich Cober, MicroStrategy’s Chief Human Resources Officer, discusses how the data scientist will be critical in driving the overall success of the enterprise, and in the U.S., we can expect some of those profits being ploughed back into using data to help further improvements in hiring, training, product development, marketing and more. Forrester Research analyst Brandon Purcell said demand for data scientists will only continue to grow. A career in data science is not only one of the most in-demand opportunities, it is also a rewarding position that helps inform the most important decisions an enterprise can make.

Things You Need to Know About Looking for a Data Science Job in 2019

In this contributed article, Avery Phillips indicates there are numerous things to be aware of as you begin the job search for a data science position. Many apply to any traditional job hunt, but others are important for those going into the field of data science to consider. As graduation looms upon you and preparing for a real job becomes more of a reality, here are a few things to take into account.

How Freelancing Offers a Solution for the AI and Data Science Talent Shortage

In this special guest feature, Pedro Alves Nogueira, Ph.D., Head of Artificial Intelligence and Data Science and a Director of Engineering at Toptal, observes that due to the low supply of AI professionals, competition to secure available talent is fierce. The hiring of AI specialists and data scientists is primarily monopolized by tech giants like Facebook and Google, which offer exorbitant salaries and competitive perks to AI talent — even those with little previous experience. This puts smaller companies that lack the resources to offer competitive incentives packages at a major disadvantage, and it continues to preclude them from finding talent to develop their technology.

Who is Recruiting for AI?

In this contributed article from our friends over at RS Components, we look at the important questions: The rise of AI and who’s hiring? Are you at risk of losing your job? Over the next few years we will see the impact new AI roles will have, as new developments will find their way into the home and workplace. The question is, are you ready for this technological wave artificial intelligence continues to bring?