Data scientists leverage machine learning to analyze vast datasets and extract meaningful insights. By utilizing algorithms and models, they can identify patterns, make predictions, and automate decision-making processes. Machine learning in data science enhances the ability to derive value from complex data by improving accuracy and efficiency in tasks such as classification, regression, and clustering. Furthermore, data scientists apply techniques like deep learning for more sophisticated analyses, enabling advancements in fields like image recognition and natural language processing. This not only fuels innovation but also drives business growth and competitive advantage.