As a field, data science moves at a different speed than other areas. Machine learning constantly evolves and libraries like PyTorch and TensorFlow keep improving. Research companies like Open AI and Deep Mind keep pushing the boundaries of what machine learning can do ( i.e. DALL.E and CLIP). Foundationally, the skills required to be a data scientist remain the same: statistics, Python/R programming, SQL or NoSQL knowledge, PyTorch/TensorFlow and data visualization. However, the tools data scientists use constantly change.