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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?

Infographic: The Typical Data Scientist 2019

It’s hardly a surprise to anyone in the tech and related industries that “data scientist” is the best job to have these days. After all, this has been what sources like the Harvard Business Review and Glassdoor report for what is now four years in a row. And even if we take the base salary of $108,000 out of the equation, the position is still plenty attractive on all other dimensions. The infographic below, produced by our friends over at 365DataScience, suggests that the field is evolving and, with it, the typical professional evolves as well.

Infographic: The Jobs Artificial Intelligence Will Take Over First

We’re poised for the biggest transformation in the world’s workforce since the industrial revolution, and it’s all thanks to AI. Breakthroughs in technology mean many different jobs – 30% of jobs in Britain – could be changed because of the introduction of automation. A new infographic by RS Online shows how different sectors in the working world will be affected by artificial intelligence. So

Data Scientist Is Still a Hot Job and Pays Well Too

“Data Scientist: The Sexiest Job of the 21st Century.” So proclaimed the Harvard Business Review in 2012. Six years later and the job of a data scientist has only grown sexier. More employers than ever are looking to hire data scientists. Yet while the supply of data science job seekers is growing, it’s far outstripped by the rising demand in postings, meaning there potentially may not be enough skilled applicants. So the bargaining power in data science remains with the job seekers, according to new research from Indeed.

Infographic: How AI helps Companies and Job Hunters Connect

The series of infographics below, developed by our friends over at Yello.co, defines some of the challenges for job seekers and employers, then explains how AI may alleviate or eliminate those challenges. For example, according to an article from the Harvard Business Review, “A vast body of research shows that the hiring process is biased and unfair. Unconscious racism, ageism, and sexism play a big role in who gets hired.” With the help of AI, this bias may be on its way out.

What You Need to Do to Have a Career in Big Data

In this contributed article, freelance human Avery Phillips offers a number of important tips in firming up a career in big data. As technology continues to expand, employment potential in big data is expected to explode even further over the next five years, and there will be a huge deficit of qualified applicants. Now is the time to break into this multi-billion dollar industry where you could land the job of your dreams.

Building a Winning Data Science Team

In this contributed article, Brad Cordova, co-founder and CTO of TrueMotion, discusses the importance of building a winning data science team, including actionable tips drawn from his own experience on structure, investment and building a culture where data science thrives.

Where Do World Leading Companies Get Their AI Expertise From?

In this contributed article, Anna Klimenko, a technical writer at Greenice, discusses a topic on the mind of many companies – how to find AI technology talent. With the deficiency of AI specialists, there are several ways to build AI expertise in a big company. The most prominent university students, graduates and professors become targets for headhunters. Hiring rare specialists, educating own employees, acquiring AI startups and creating ML-as-a-service systems are the main methods that allow companies to get artificial intelligence expertise.