TaxBrain was launched in April 2016, by Open Source Policy Center (OPSC), a Washington DC based think tank. There is a huge need for remodelling the statistical models used by decision makers in the white house. Most of these models were SAS band Fortran based, which was proprietary. Now OPSC is coming up with more open models which will be primarily written in Python.
There is a shortage of data science talent. Companies are looking high and low for qualified data scientists but they are falling way short of the demand. This problem is being addressed somewhat by Kaggle which allows you to outsource the work to different data scientists across the work. IBM believes in a whole other level of data science. They come on strong with Watson - a machine learning algorithmic computer which allows you to become your own data scientist.
A data science education is simply learning how to do data analysis with programming languages. But this is not what data science as a whole is. Data Science as a whole means encompassing all the skills that a mere data analyst would not have. It means looking at data and being curious enough to keep sifting through it until you can solve the business queries. This is one of the reasons why data scientists are in huge demand and universities are fast churning out data science programs to deal with this demand.
With companies using more online services and increasingly generating data than before, it is difficult to find insider threats. As insider threats become increasingly difficult to detect and prevent , data science is extensively proving its effectiveness in the realm of cybersecurity. Data Science helps find the needle in the haystack and eases the process of detecting insider threats before they cause damage.
Data Scientists are in great demand and in short supply, academic researchers and physicists from hard science disciplines are finding good opportunities on data science teams in leading various big data analytics projects. As the demand for data scientists is rising, the supply is not keeping pace due to the scarcity of data scientist with computer science and business disciplines. Thus, physicist and researchers from hard sciences are a good fit for the data science.