Data science is much more than just simple machine learning. Data here may not have been obtained through a machine, and it may not even be for learning purposes. Put, data science tends to cover the whole spectrum of data processing as we know it. Data science is not just related to the statistical aspect of the process, but it feeds the process and derives benefits from it through data engineering. Data engineers and data scientists have a huge role to play in propelling AI forward.
By now, we are quite sure you would have understood the roles and responsibilities of data scientists. They are primarily involved in collecting data from multiple touchpoints, analyzing it, interpreting it for inferences and insights and coming up with effective solutions for business concerns. Machine learning and artificial intelligence are integral parts of data science, where techniques from both such as regression, predictive analytics and more are applied for insight generation.