Lead Data Scientist, Methodologies

The Lead Data Scientist in Methodologies at Tilt will focus on developing and advancing foundational modeling approaches using deep learning techniques such as neural networks, embeddings, and transformers to enhance credit modeling and loss prediction. This role involves collaborating with data scientists and engineers to design practical solutions that address financial data challenges, while also measuring the impact of models on customer outcomes. Candidates should have experience in applying machine learning to real-world financial problems and possess strong communication skills for translating complex ideas.