How we’re helping your company solve it’s Data Science talent shortage

Ike Foulkes
JamieAi
Published in
2 min readMay 5, 2017

It is widely acknowledged that there is an impending global Data Science talent shortage, as the value of data has increased, so has demand for the people who can extract that value. The problem is that the growth of demand has far outstripped the growth of supply: this engenders a shortage of talent, but also increases the value of those who do have the skills to generate insights from data that result in revenue upside.

A McKinsey study predicts that by 2018 the number of data science jobs in the United States alone will exceed 490,000, but there will be fewer than 200,000 available data scientists to fill these positions. Globally, demand for data scientists is projected to exceed supply by more than 50 percent by 2018.

A great time to be a Data Scientist, you might say — your market value is at a premium and there are plenty of companies and industries that are looking for people with your skill set. In reality however, we’ve found that companies have a really tough time sourcing great Data Science talent, and great Data Scientists have a tough time landing jobs at companies that are a good fit for them, not only work-wise; but culturally too.

IBM reckons that every day, we create 2.5 quintillion bytes of Data — that’s a staggering amount and it’s a number that keeps increasing at a velocity which shows no signs of slowing. As the world becomes more connected, and the IoT keeps accelerating consumer-product synergies, data is only going to increase in importance, and therefore demand for the gatekeepers of that data (the Data Scientists) will continue to climb and climb.

It’s clear that businesses now more than ever appreciate the commercial advantages that can be gained by achieving full mastery of their data, so why do they still have such trouble hiring the right people to come in and master it?

At JamieAi, we’re solving this exact problem by giving employers a tool that automatically sources and filters Data Scientists based on what is really important to your organisation; eliminating the need for you to spend hours trying to sift through hundreds of irrelevant applications and profiles, or paying out large fees to external agency recruiters.

www.jamieai.com

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