Staff Data Scientist, Methodologies
T
TiltCredit and lending
Remote - USFull-TimeStaff
Salary$192K - $240K; $192K – $240K • Offers Equity • Offers Bonus
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Job Details
- Required Skills
- Machine LearningPyTorchTensorflowDeep Learning
Requirements
- Experience with deep learning, including neural networks, embeddings, or transformers.
- Comfort working with modern ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience applying machine learning to real-world problems.
- Experience in financial services, such as credit, lending, payments, or banking, is preferred.
- Strength in connecting data science to measurable business outcomes.
- Ability to explain technical ideas clearly so others can engage with them.
- Hands-on experience building with LLMs or agent frameworks is a bonus.
Responsibilities
- Develop and test modeling approaches using deep learning architectures such as transformers, embeddings, and neural networks.
- Build and refine frameworks that integrate into existing ML pipelines for credit modeling and loss prediction.
- Work with data scientists, engineers, and product partners to translate complex ideas into practical solutions.
- Experiment with pretraining and fine-tuning on real financial data.
- Share findings and mentor others to build the team's deep learning capability.
- Measure model impact through accuracy and outcomes for customers and partners.
- Use agentic development tools such as Claude Code and Codex to speed up experimentation, feature engineering, and model iteration.
- Design and ship specialized agents that support data science and business workflows.
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