Data Scientist, Innovation - Baseball Analytics

Data Scientist, Innovation within Baseball Analytics to advance analytics, modeling, and applied research across Baseball Operations. Focus on developing cutting-edge machine learning models, exploring novel analytical approaches, and translating complex baseball data into actionable insights to improve player evaluation, player development, and performance analysis. Emphasizes innovation in modeling, experimentation, and analytical rigor with experience in time-series, probabilistic, and simulation-based models, and familiarity with multimodal data including tracking, video, and sensor data; proficiency in Python, SQL, and ML frameworks (e.g., PyTorch, TensorFlow).