In this role, you will apply your practical experience in mining and analyzing messy data, your deep understanding of machine learning algorithms, and your willingness to write codes to explore problems and understand data, all while solving challenging real-world problems at a large scale. You will work hand-in-hand with academic experts in domains ranging from personalized health and personalized medicine, earth and environmental science, smart manufacturing (reinforcement learning), computational social science and economics, and digital humanities.