As an emerging discipline, data science is crucial for the scientific circle to explore the discussion of its scientific nature and core scientific issues. This research covers a comprehensive discussion from scientific paradigms to scientific attributes to core scientific issues, with particular emphasis on falsiability, reproducibility, scientific spirit, and the ability to iterate quickly.The theoretical system construction of data science also includes key issues such as the alignment of data and problem, the trust relationship between data and model, and the balance between performance and interpretability. Through this comprehensive discussion, the study aims to provide new perspectives on the scientific nature of data science and to find new ways to solve the scientific problems it faces, thus promoting the development of data science as a scientific discipline.

Li Xinyao. Scientific Nature and Scientific Problems of Data Science. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 6: 75-80. https://doi.org/10.25236/FSST.2024.060612.

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