A Data Scientist is an individual who has the combined abilities of a mathematician, a computer scientist, and a trend spotter. The job of a Data Scientist is to decipher large volumes of data, mine the relevant parts of this data and then analyze this data so as to make predictions for similar data in the future. A career path in the field of Data Science can be explained in the following ways. Business Intelligence Analyst: A Business Intelligence Analyst is an individual who has the job of figuring out the business as well as the market trends. This he/she does by the analysis of data in order to develop a clear picture of where exactly the business stands in the business environment. Data Mining Engineer: A Data Mining Engineer is an individual who has the job of not only examining the data for the needs of the business, but also for the benefit of a third party. In addition to his job of the examination of data, a Data Mining Engineer also needs to create sophisticated algorithms that further aid in the analysis of data. Data Architect: The role of a Data Architect is to work in tandem with system designers, developers and users in order to create blueprints that are used by data management systems in order to integrate, protect, maintain as well as centralize data sources. Data Scientist: The main responsibility of a Data Scientist is to pursue a business case by analysis, development of hypotheses as well as the development of an understanding of data, so as to explore patterns from the given data. Data Scientists then move on to the development of algorithms and systems that make use of this data in a productive manner so as to further the interests of business. Senior Data Scientist: A Senior Data Scientist is tasked with anticipating future business needs and shaping the projects, systems and data analyses of today to suit those business needs in the future.