Observation: Companies now often expect data scientists to manage data engineering tasks due to reduced data literacy.
Question: Have you also seen these mixed-role job descriptions?
i’ve seen it too. data scientists are now juggling pipeline tasks and analytics, which can be lil overwhelming sometimes. do you think this move really helps career growth or just adds needless complexity? what’s been your best workaround?
i’ve def seen roles askin for both skills. its kinda weird mix sometimes, like they expect a jack of all trades rather than a specialist. anyone else feelin this reality?
I have noticed an increasing trend where employers are hiring data scientists who are also expected to have robust data engineering skills. In my experience, this dual role requires a deeper understanding of infrastructure management alongside advanced analytics, something that goes beyond traditional data science capabilities. This integration can be challenging for professionals trying to specialize in one area, yet it offers a broader perspective on data handling. However, balancing both aspects effectively requires continuous learning and adaptation to rapidly evolving technologies.