To excel in predictive analytics, a data scientist should possess a strong foundation in statistics and machine learning, proficiency in programming languages like Python or R, expertise in data manipulation and analysis, and the ability to interpret and communicate data insights effectively. Additionally, problem-solving skills, domain-specific knowledge, and a keen understanding of the business context are crucial.