Description:

Join Tilt as a Staff Data Scientist in the Methodologies group, focusing on foundational modeling approaches.
Explore deep learning methods to enhance understanding of financial data and improve lending decisions.

Requirements:

Experience with deep learning techniques (neural networks, embeddings, transformers).
Proficiency in modern ML frameworks (PyTorch, TensorFlow, etc.).
Background in applying ML to real-world financial problems (credit, lending, payments).
Ability to connect data science to measurable business outcomes.
Strong communication skills to explain technical concepts clearly.
Bonus: Experience with LLMs or agent frameworks.

Skills