Hello everyone, I’m currently immersed in data science studies, yet there are growing concerns about the industry’s trajectory. I’ve heard that the need for dedicated data scientists might be shrinking, with many professionals transitioning into analyst roles, while engineers increasingly handle machine learning tasks.
- Is it still wise to build a career in data science, or should I consider shifting focus toward computer science?
- Additionally, are machine learning engineers primarily constructing models, or is their role now centered on deploying them?
In my view, pursuing a career in data science remains a worthwhile endeavor. The field has evolved with machine learning engineers taking on more responsibilities in deploying and maintaining models; however, the core skills of data science have not become obsolete. Practical experience has taught me that strong analytical abilities and a deep understanding of data remain critical. It is beneficial to remain adaptable and gain cross-disciplinary knowledge, blending data science fundamentals with computer science concepts, thereby positioning oneself to capitalize on opportunities as roles continue to evolve.
hmmmm, data science is def still in demand if you keep adaptin. ml enginers do both model training and deployment. its all about merging solid analytics with computing skills, so u gotta keep learning and stay versatile.
hey peeps, i reckon datasciene is still rad. ml engineers do both buildin and deployin now, so versatility is key. how yall mix cs with ds in your work? curious to hear more!