Lead Data Scientist (Model Developer) / Deep Learning Practitioner
Core
Leading the development of proprietary deep learning models to enhance underwriting capabilities and improve predictive power for core lending.
Role type
Senior IC deep learning practitioner (model developer)
Builds
Production deep learning models for underwriting and lending
Domain
Financial services / Machine Learning / Deep Learning
Deliverable
production ML models
Required skills
Deep learning model development, neural network architecture design (LSTMs, RNNs, Transformers), Python, SQL, statistical analysis, probability theory, multi-modal data processing, GPU training
Preferred skills
Experience with sequential data (time series, language models), mentoring junior team members, setting technical direction, bridging R&D with in-market results
Technologies
PyTorch, TensorFlow, Hugging Face Transformers
Responsibilities
Lead development of next-generation deep learning approaches for underwriting models, build sophisticated neural networks to transform raw inputs into predictive features, collaborate with stakeholders to prioritize initiatives and drive prototypes to production, manage code quality and software engineering best practices, work cross-functionally on business initiatives
Seniority
Senior, hands-on IC with leadership responsibilities
