From the listing
About the role
At Tilt, we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. We are creating a new credit system that backs the working, whatever they're working toward.
We’re looking for a Staff Data Scientist to join our Methodologies group — a role focused on building and advancing foundational modeling approaches. You’ll explore how deep learning methods such as neural networks, embeddings, and transformers can enhance how we understand financial data and make lending decisions.
You'll also be at the forefront of how data science is practiced in the age of AI agents. Our team builds with agentic tools every day, and we're creating specialized agents that speed up both DS and business workflows.
What you'll do
- Develop and test new modeling approaches using deep learning architectures such as transformers, embeddings, and neural networks.
- Build and refine frameworks that integrate into Tilt’s existing ML pipelines to improve credit modeling and loss prediction.
- Work closely with data scientists, engineers, and product partners to translate complex ideas into practical solutions.
- Experiment with modern representation learning techniques — including pretraining and fine-tuning — on real financial data.
- Share findings and mentor others, helping the team grow its deep learning capability.
- Measure the impact of your models by how they improve outcomes for Tilt’s customers and partners.
- Use agentic development tools to speed up experimentation, feature engineering and model iteration.
- Design and ship specialized agents that support DS and business workflows.
What they're looking for
- Experience with deep learning — neural networks, embeddings, or transformers.
- 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).
- Strength in connecting data science to measurable business outcomes.
- Clear, thoughtful communication for explaining technical ideas.
Nice to have
- Hands-on experience building with LLMs or agent frameworks.
- Excitement to see agents as a way to multiply what a small, senior team can do.
From the company page
Tilt benefits
◉ Remote policy · in their words
“Great work happens anywhere. We're collaborating across 14 countries, 12 time zones.”
Pulled from their careers page · verified by Atlas
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