Managing Data Science

This comprehensive guide addresses the unique challenges of managing data science teams, projects, and infrastructure in modern organizations. The work explores both technical and organizational aspects, covering team dynamics, project methodologies, stakeholder communication, and strategic decision-making in data-driven environments. Written for managers, team leads, and senior data scientists transitioning to leadership roles, it bridges the gap between technical expertise and management effectiveness. The practical approach combines real-world case studies with actionable frameworks for building successful data science organizations.