Automation in data science is transforming the way professionals work by streamlining repetitive tasks such as data cleaning, feature selection, and model deployment. With advanced tools and AI-powered platforms, many routine processes are now automated, allowing data scientists to focus more on strategic analysis and innovation. However, the impact of automation on data science jobs is twofold, while it enhances efficiency and accuracy, it also demands new skill sets to manage and optimize automated systems, making adaptability crucial for future data professionals.