A Data Scientist has the skills of a computer scientist, a mathematician, and a trend spotter. The main part of a Data Scientist's job is to mine the huge volume of data to decipher patterns and find relationships. This is then used to make predictions for the future. The whole career path of a Data Scientist can be explained as follows:
Business Intelligence Analyst: It is the responsibility of a business intelligence analyst to figure out the business and keep a check on the latest market trends. This can be done by performing the analysis of the data provided by the organization. One needs to have to clear picture of where the organization stands in the business environment.
Data Mining Engineer: The job of a data mining engineer is to examine the data for the business. They often work as a third party. Apart from examining the data, they are also needed for the creation of algorithms that are required in the further data analysis.
Data Architect: Data Architects work alongside developers, system designers, and users. They create the blueprints that are used for the integration, protection, centralization, and maintenance of the data sources. These blueprints are used by data management systems.
Data Scientist: A Data Scientist has the responsibility of doing the analysis, pursuing a business case, developing hypotheses, understanding the data, and exploring patterns from the provided data. After this, comes the development of systems and algorithms that can find a way to use this data in a productive manner. This further improves the interest of the business.
Senior Data Scientist: A Senior Data Scientist is one who anticipates the future needs of the business and shapes the projects according to that. This includes modifying the data analysis process and systems to suit the needs of the future.