Senior Data Scientist, Methodologies

The role

You will build and test deep learning methods like transformers to improve financial data understanding and lending decisions. You will work with a small team of data scientists and engineers to take projects from idea to working models.

What you will do

• Build, train and evaluate deep learning models on Tilt's financial data.
• Ship models and model components that plug into Tilt's existing ML pipelines.
• Own projects end to end from hypothesis to a model in use.
• Work closely with data scientists, engineers, and product partners.
• Run representation learning experiments including pretraining and fine-tuning.
• Share findings and help peers pick up new deep learning methods.
• Measure the impact of models on outcomes for customers and partners.
• Use agentic development tools to speed up experimentation and model iteration.
• Build and improve specialized agents that support DS workflows.

Required qualifications

• Hands-on experience building and training deep learning models
• Comfort working with modern ML frameworks (PyTorch, TensorFlow, or similar)
• Experience applying ML to real-world problems, ideally in financial services (credit, lending, payments, or banking)
• Experience taking a project from an open question to a measurable business outcome
• Clear, thoughtful communication

Nice to have

• hands-on experience building with LLMs or agent frameworks
• excitement to learn

Benefits

• WFH office reimbursement
• Competitive compensation packages
• Generous equity
• Flexible health plans at every premium level
• Substantial subsidies that stand up to global standards
• Direct exposure to our leadership team
• Paid global onsites

About the company

Tilt uses mobile-first products and machine learning-powered credit models to recognize potential using real-time financial signals. They are creating a new credit system to expand access to fair credit.