Discussion Forum | Board Infinity

Is domain knowledge necessary for a data scientist?

Students and aspirants in the field of data science must be cognizant of the fact that the acceptance of their statistical models and output depend largely on their relevance to existing business problems. Therefore, it is important for data scientist to understand the actual problems faced by business & their priorities. And, the projects and analysis done should correspond or cater to those business problems – for example, a student from finance background would have sound knowledge on accounting concepts which would help him/her to understand the financial problems faced by businesses. Hence, they could cater their reporting solutions to correspond to such problems.