Roles in Data Science

Data science is a diverse field that uses different methods to uncover valuable insights from data. It includes various roles, each playing a part in turning raw data into useful information. There are four important roles within the domain of data science: data analyst, ML engineer, data engineer, and MLOps engineer. Each position plays a crucial role in the data science process, from problem definition to model deployment and maintenance.

Data engineer

Data engineers are the architects of the data science pipeline. Their primary responsibility is to ensure that data is collected, stored, and processed effectively. This involves building and maintaining data infrastructure, data pipelines, and databases. Data engineers play a pivotal role in the data collection and data cleaning phases. They design systems to extract data from various sources, transform ...