Data scientists are modern day archaeologists and oracles. They are much in demand. They have to piece together the stories that numbers have to tell. New age companies such as e-commerce retailers and mobile advertising companies employ data scientists to find new ways of doing business and solving problembs. They attract lucrative pay packages. A large part of their job is grunt work, gleaning information from data spread over social media, public government records etc. The data is cleaned and structured to make sense. Data scientists switch across half a dozen technologies — an ability to code in popular languages such as Python, Java, Perl. They should be able to work on Hadoop platform, and execute queries on SQL database, and work with unstructured data. They should ask  ‘why’ of the problem. They should maintain neutrality.