To be a successful data scientist, one must be skilled in Mathematics, computer science, and trend spotting. It is the responsibility of a data scientist to analyze the large volumes of data to make predictions for the future. The career path of a data scientist is as follows:
Business Intelligence Analyst: To figure out the needs of the business and market trends, a business intelligence analyst is required. To develop a clear picture of the current standing of the business in the business environment, analysis is done as a part of this job.
Data Mining Engineer: A Data Mining Engineer is responsible for the examination of data required to fulfill the needs of the business. They might be hired by the company as a full-time employee or a third party. Apart from examining the data, the job of a Data Mining Engineer also involves the creation of a sophisticated algorithm that helps in further analysis of data.
Data Architect: Data Architects work alongside System developers, designers, and users for creating blueprints. These blueprints are then used by the data management system that integrates, centralizes, maintain and protect the data sources.
Data Scientist: The job of a Data Scientist is to analyze the business case, develop a hypothesis and an understanding of data. They are also responsible for developing systems and algorithms that use this data in a productive manner to further the interests of the business.