A Chemistry Data Science job involves applying data analysis, machine learning, and computational techniques to solve problems in chemistry. Professionals in this field work with large datasets from experiments, simulations, or literature to extract insights, optimize processes, and make predictions. Common applications include drug discovery, materials science, chemical informatics, and reaction optimization. This role typically requires expertise in chemistry, programming (e.g., Python, R), and statistical modeling.