Question
I’m studying data science amidst reports of dwindling opportunities and shifting roles. Should I continue in data science or switch to computer science? Are ML engineers mostly focusing on deploying models?
My experience in data science indicates that the field is still valuable despite evolving industry demands. The role now requires a deeper understanding of both statistical methods and software engineering, which broadens the scope for those who are versatile. Working on projects where I integrated data analysis with deployment strategies reinforced the fact that combining data science with solid computer science principles remains an asset. The integration of model development, optimization, and performance monitoring confirms that expertise in data science continues to offer promising career opportunities.