A data programmer primarily focuses on programming tasks related to data manipulation, data cleaning, and building data pipelines. Their role is more technical and involves writing code to handle and process data efficiently. While data programming is a component of a data scientist’s role, on the other hand, their responsibilities extend beyond programming. They also engage in exploratory data analysis, statistical analysis, and applying machine learning algorithms to extract insights and make predictions from data. Data scientists use programming skills as a means to an end—enabling data-driven decision-making.