Senior Data Scientist - DL for Fair Credit (Remote)

Royper Royco LLC; United States; À distance; USD 150 000 - 230 000; Plein temps

Résumé du poste

Tilt seeks a Senior Data Scientist to advance foundational modeling approaches in the Methodologies group. You will build and test deep learning methods, including transformers, to enhance credit modeling and customer behavior insights.

Join a small, senior team driving end-to-end projects from hypothesis to production. You will work with data scientists and engineers, exploring agentic tools to speed up experimentation and business impact.

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 — you can explain technical ideas in ways others can engage with.
• Bonus: hands-on experience building with LLMs or agent frameworks, or excitement to learn. You see agents as a way to multiply what a small, senior team can do.

Responsabilités

• 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 to improve credit modeling and loss prediction.
• Own your projects end to end, from hypothesis to a model in use, with general direction from the team's leads.
• Work closely with data scientists, engineers, and product partners to turn your results into practical solutions.
• Run representation learning experiments - including pretraining and fine-tuning - on real financial data, with a clear design up front and an honest read on what worked.
• Share findings and help peers pick up new deep learning methods.
• Measure the impact of your models not just by accuracy, but by how they improve outcomes for Tilt's customers and partners.
• Use agentic development tools (e.g., Claude Code, Codex) to speed up experimentation, feature engineering and model iteration.
• Build and improve specialized agents that support DS workflows.

Connaissances

Deep learning

PyTorch

TensorFlow

ML frameworks

Outils

PyTorch

TensorFlow

Description du poste

Tilt seeks a Senior Data Scientist to advance foundational modeling approaches in the Methodologies group. You will build and test deep learning methods, including transformers, to enhance credit modeling and customer behavior insights.

Join a small, senior team driving end-to-end projects from hypothesis to production. You will work with data scientists and engineers, exploring agentic tools to speed up experimentation and business impact.