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Data Scientists Are Hot

Based on a couple of searches on job sites and an email from a headhunter, GigaOM Barb Darrow concludes that data scientists are in high demand these days:

My client is one of the largest professional services firms in the world and they are looking for very senior data analytics experts who can apply his/her advanced analytics, predictive modeling, and data visualization skills to the fraud/dispute arena.  Exceptional compensation packages are available in the $300,000 to $500,000 range for the appropriate technical and leadership experience.

There’s no denial of the fact that data scientists are hot and Darrow is not the first one writing about it. Hal Varian, Chief Economist at Google, said many years ago: “I keep saying that the sexy job in the next 10 years will be statisticians”. Many others have already agreed that the future belongs to the companies and people that turn data into products. And I remember reading recently about some reports mentioning 150-200,000 jobs in this market in the next couple of years.

On the other hand though, there are various myths about data scientists’ role. Job descriptions will mention many years of experience with Hadoop and Big Data. But even if there are some hints about what makes a good data scientist and how to hire the right data geeks, there’s no alignment on what data science is and what is involved in the role of the data scientist.

This still feels like the early days when requirements and expectations are changing overnight. But these are also the days when most of those involved are having a lot of fun learning and discovering new ways to deal with data and defining the tomorrow.

Original title and link: Data Scientists Are Hot (NoSQL database©myNoSQL)