Senior Data Scientist (Fully Remote)

Tilt; United States; A distancia; USD 120.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

WFH office reimbursement

Paid global onsites

Generous equity

Flexible health plans

Descripción de la vacante

Tilt is a small, virtual-first team developing machine learning-powered credit models. You will work on building, training, and evaluating deep learning models using Tilt’s financial data to unlock real business impact.

In this role you’ll ship model components into existing ML pipelines to improve credit modeling and loss prediction, collaborating with a senior team across 14 countries. Remote work is common with global onsite options.

Formación

• Hands-on experience with deep learning and modern ML frameworks like PyTorch or TensorFlow.
• Clear, thoughtful communication and the ability to turn technical exploration into measurable business impact.

Responsabilidades

• Build, train, and evaluate deep learning models on Tilt's financial data.
• Ship models and model components that plug into existing ML pipelines to improve credit modeling and loss prediction.

Conocimientos

Deep learning

PyTorch

TensorFlow

Communication

Descripción del empleo

• Build, train, and evaluate deep learning models on Tilt's financial data.
• Ship models and model components that plug into existing ML pipelines to improve credit modeling and loss prediction.

What We're Looking For:

• Hands-on experience with deep learning and modern ML frameworks like PyTorch or TensorFlow.
• Clear, thoughtful communication and the ability to turn technical exploration into measurable business impact.

The Team:

• Work with a small, senior team of data scientists and engineers collaborating across 14 countries.
• Use agentic tools daily to speed up experimentation, feature engineering, and model iteration.
• Virtual-first setup with WFH office reimbursement and paid global onsites.
• Competitive compensation, generous equity, and flexible health plans.

Tilt

Tilt builds mobile-first financial products and machine learning-powered credit models that look beyond credit scores to recognize real potential. They are a small, virtual-first team spread across 14 countries, focused on collaboration, fairness, and expanding access to credit.