Data science remains resilient despite federal budget cuts

Data science remains a strong career choice, even during federal budget uncertainty, says expert Chris Mattmann. Mattmann spent 24 years at NASA and now works as the chief data and AI officer at UCLA. He outlines five key points for those looking to enter the field. First, understanding the discipline of your focus area is critical. Mattmann believes that having a solid background in earth science or planetary science is more beneficial than just a degree in software engineering. He advises aspiring data scientists to prioritize discipline knowledge for a more successful career. Second, gaining hands-on experience is essential. This can be achieved through internships, mentorships, or working on open-source projects. Mattmann highlights the importance of both research and operational skills, suggesting that practical experience can be more rewarding. The third point involves understanding your role in the field. Data scientists often work in supporting roles, assisting discipline scientists and contributing behind the scenes. Mattmann encourages patience and teamwork, noting that building trust with managers can help bring visibility to your contributions. Fourth, a strong support network is crucial. Community and collaboration are important in data science. Mattmann recommends getting involved in competitions and local meet-ups to find supportive peers. A good network can help prevent burnout, which is common in the field. Finally, be aware that AI technologies will significantly change the landscape of data science. As AI improves, routine data analysis tasks might be automated. There will still be roles for those who can train AI and manage data responsibly. Understanding the ethical implications of AI will also become increasingly important. Despite current challenges, the demand for data scientists remains strong across various sectors, including industry and government. Data science is expected to thrive, making it a promising field for future careers.