A lot of data science professionals and enthusiasts get confused by the data science career lifecycle. It is probably due to data science being a relatively new field and organizations globally are trying to figure out the “Sexist Job of the 21st century” as they incorporate data science projects in their organizational priorities.
Let’s check out a typical career path as a data scientist –
Caution: The data science career path are losely defined in the industry. The exact career path can depend on the maturity of your organization in data initiatives.
As we can observe in the above career path, being in a data science role throughout the journey can lead up to a position of a data science leader which is about identifying and formulating business problems, stakeholder management, and forming the overall data strategy of the division or the organization.
As mentioned above, since the role is relatively in its nascent stage, a lot of professionals apply their learning to move on to entrepreneurial path or product roles. Data Scientists gain plenty of domain knowledge over their experience and hence gain a lot of insightful knowledge about the product and industry-leading them to do well as entrepreneurs or product managers.