The data provided is usually huge and in an unstructured form which makes the job of deciphering patterns and finding relationships even more difficult. The more difficult a job is, the more potential it has for career growth. Here is the career path of a Data Scientist:
Business Intelligence Analyst: A Business Intelligence Analyst’s job is keeping a check on the latest trends and figuring out what is the best for business. They have a clear understanding of where their organization stands.
Data Mining Engineer: The role of a data mining engineer is examining the data. They are also responsible for creating algorithms that are required for data analysis. Many organizations hire data mining engineer as a third-party.
Data Architect: They work with developers, system designers, and users for creating blueprints for the data management systems required to integrate, centralize, protect and maintain the data source.
Data Scientist: It is the responsibility of a data scientist to perform the analysis, develop an understanding of data, explore patterns and create a hypothesis. After this, they are also required to develop algorithms and systems required to use this data for the benefit of the business.
Senior Data Scientist: A Senior Data Scientist is responsible for anticipating the needs of the business and shapes their data science projects accordingly. They also modify the data analysis system and process to meet the needs of the business.