How to become a Data Science Manager
Leads data science and AI teams that build production machine learning, generative AI, agentic AI, predictive modeling, and data platform solutions. Combines people leadership, hands-on technical direction, strategic planning, stakeholder communication, and delivery of measurable business and customer outcomes.
Top Skills Required
- Machine learning
- Generative AI
- Agentic AI
Education & Certifications
Typical: Bachelor's or master's degree in computer science, data science, statistics, mathematics, machine learning, engineering, economics, or a related quantitative field; PhD is common for research-oriented science leadership roles.
Alternative paths:
- Equivalent industry experience with a strong record of delivering production AI and data science systems
- Advanced technical leadership experience in machine learning engineering, applied science, or analytics