Staff Data Scientist, Foundational Modeling & AI

Tilt Finance; United States; Remote; USD 150,000 - 240,000; Full time

Benefits offered by this job

WFH office reimbursement

Generous equity

Competitive compensation package

Global onsite / travel opportunities

Job summary

Tilt is seeking a Staff Data Scientist to join the Methodologies group, focused on foundational modeling approaches using deep learning, embeddings, and transformers. You’ll explore how advanced modeling can enhance credit decisioning and transaction modeling while collaborating with a small, senior team.

You’ll contribute to building DL pipelines, mentoring others, and applying new methodologies to real financial data to drive business impact at-scale.

Qualifications

• 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 — 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.

Responsibilities

• 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 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.
• Design and ship specialized agents that support DS and business workflows - these agents turn methodology into leverage across the company.

Skills

Deep learning

Transformers

Embeddings

Communication

Business impact

LLMs

Tools

PyTorch

TensorFlow

Job description

Tilt is seeking a Staff Data Scientist to join the Methodologies group, focused on foundational modeling approaches using deep learning, embeddings, and transformers. You’ll explore how advanced modeling can enhance credit decisioning and transaction modeling while collaborating with a small, senior team.

You’ll contribute to building DL pipelines, mentoring others, and applying new methodologies to real financial data to drive business impact at-scale.