A data scientist is one who has a good grasp over mathematics, computer science, and trend spotting. These abilities are required for deciphering large datasets, mining relevant data, and analyzing this data to make future predictions for similar data.
Here is how the career path in the field of data science can be explained:
Business Intelligence Analyst: A Business Intelligence Analyst is responsible for figuring out the business and market trends. They perform the analysis of the data to understand exactly where the business stands in the market.
Data Mining Engineer: The role of a Data Mining Engineer is to examine the data according to the needs of the business. More often than not, they are hired as a third party by an organization. They are also responsible for creating sophisticated algorithms that are required for data analysis.
Data Architect: The role of Data Architect is to work with system developers, designers, and users for the creation of blueprints used by data management systems for the integration, centralization, maintenance, and protection of the data sources.
Data Scientist: A Data Scientist pursues a business case by analyzing, creating hypotheses, developing an understanding of the data, and exploring patterns in this data. They are also responsible for creating systems and algorithms that help in using this data in a productive manner and further the interests of the organization.
Senior Data Scientist: It is the responsibility of a Senior Data Scientist to anticipate the needs of the business in the future and shape the current projects according to it. They make sure that the analysis and the systems are suited to meet the needs of the business.