Data Scientist – Roles and Responsibilities..
Tweeting is trending! It has emerged as one of the latest manifestations of the human need to socialise, to acknowledge and be acknowledged. But have you ever wondered while tweeting about what importance does your tweet hold? It may be negative or positive carrying multiple meanings, influencing the sales of a company, or its reputation, but for sure, the data collected in the form of your tweets is largely unstructured or semi-structured in its nature. It is in here that a Data Scientist comes in!
A Data Scientist, working in the Twitter Analytics Domain, extracts meaningful data out of thousands of tweets, performs sentiment analysis on the streamlined data, and predicts the patterns of behaviour, interactions, and associations between people which may directly or indirectly influence an organisation and its prosperity. As a matter of fact, the role of a Data Scientist is to analyse, manage, and streamline complicated data sets, and to devise certain tools that enhance information flow to the respective organisations for their business benefits. The task is largely predictive and analytical in its nature.
Multiple Roles in the Data Science Domain..
Data Scientist – The Hottest and the Highest paid job across the Globe with an Average Salary of $110,000.
A Data Scientist, with his expertise in Mathematics, Statistics, and Programming, performs to ease out the intricacies behind any data, in order to come up with simplified business strategies which the BIG business houses may not be aware of. A Data Scientist applies the knowledge of statistics, algorithms, and mathematics to find out various predictive models to solve a business problem. In doing so, a Data Scientist analyses and predicts the possibilities that may occur in the near future. World-wide business houses, such as Amazon, hire Data Scientists whose roles are to create predictive models based on the ratings and likes of products, and to make recommendations accordingly.
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