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Senior data scientists are more important than ever as businesses rely more and more on data-driven decision-making. To succeed in this line of work, a broad range of technical, management, and interpersonal skills are needed. This article examines the top ten characteristics needed for senior data scientists in 2023. These include machine learning, business savvy and sector expertise, project leadership and management, data engineering, data visualization, communication and collaboration, problem-solving, data ethics, and AI/ML development.