Yes, data science is a somewhat boring and stressful profession. Despite its higher-than-average salary, data science analysts find aspects of their work repetitive.
Nearly 50% of analysts spend large amounts of time cleaning and organizing data for analysis. This is listed as the least desirable aspect of the profession. Additionally, collecting and labeling data consumes 48% of an analyst's time. Both tasks are necessary but are cited by analysts as boring and repetitive.
Tight deadlines and work overload are two reasons that data science analysis is considered a stressful job. There are too few qualified analysts to handle the amount of data that needs to be gathered, labeled, organized, and analyzed. With no means of moving more quickly through these repetitive tasks, analysts feel stress.
