Senior Data Scientist, Methodologies

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop, train, and assess deep learning models utilizing Tilt's financial data

• Integrate models and their components into current ML pipelines to enhance credit modeling and loss forecasting

• Manage projects from start to finish, from hypothesis formulation to operational model implementation

• Collaborate with data scientists, engineers, and product stakeholders to translate findings into actionable solutions

• Conduct representation learning experiments, including pretraining and fine-tuning, using actual financial data

• Disseminate insights and assist colleagues in adopting innovative deep learning techniques

• Evaluate model effectiveness based on customer and partner outcomes, not just accuracy

• Utilize advanced development tools like Claude Code and Codex to expedite experimentation, feature engineering, and model refinement

• Develop and enhance specialized agents that support data science workflows

⛳️ Requirements

• Practical experience in building and training deep learning models

• Familiarity with contemporary ML frameworks such as PyTorch or TensorFlow

• Proven experience applying ML to real-world scenarios, preferably in financial services like credit, lending, payments, or banking

• History of taking projects from open questions to quantifiable business results

• Ability to clearly and thoughtfully communicate technical concepts

• Bonus: practical experience with LLMs or agent frameworks, or a strong desire to learn

🏝️ Benefits

• Work-from-home office reimbursement

• Competitive compensation packages

• Generous equity options

• Flexible health plans available at every premium level

• Significant health plan subsidies

• Direct access to the leadership team

• Paid global on-site events twice a year

• Opportunities for growth based on contributions