Senior Data Scientist, Methodologies
New
T
TiltFinancial services
Location: Remote - US; Secondary Locations: Remote - EUFull-TimeSenior
Salary$164K - $192K; $164K – $192K • Offers Equity
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Job Details
- Required Skills
- Machine LearningPyTorchTensorflowDeep Learning
Requirements
- Hands-on experience building and training deep learning models.
- Comfort working with modern machine learning frameworks such as PyTorch, TensorFlow, or similar.
- Experience applying machine learning to real-world problems.
- Financial services experience in credit, lending, payments, or banking is preferred.
- Experience taking a project from an open question to a measurable business outcome.
- Ability to explain technical ideas clearly to others.
- Hands-on experience with LLMs or agent frameworks is a bonus; willingness to learn is also noted.
Responsibilities
- Build, train, and evaluate deep learning models on Tilt's financial data.
- Ship models and model components that integrate with existing ML pipelines for credit modeling and loss prediction.
- Own projects from hypothesis through a model in use, with general direction from team leads.
- Run representation learning experiments, including pretraining and fine-tuning, on financial data.
- Collaborate with data scientists, engineers, and product partners to turn results into practical solutions.
- Share findings and help peers adopt deep learning methods.
- Measure model impact by accuracy and effects on customer and partner outcomes.
- Use agentic development tools such as Claude Code and Codex to accelerate experimentation, feature engineering, and model iteration.
- Build and improve specialized agents that support data science workflows.
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