Data scientists should have a strong understanding of machine learning techniques and be able to apply them to real-world problems. This includes knowledge of supervised and unsupervised learning algorithms, model selection and validation, feature engineering, and more. Practical experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn is valuable.
Machine Learning Expertise