Lead Data Scientist, Methodologies

Tilt(29 days ago)

RemoteFull TimeSenior$127,195 - $170,654 (estimated)Credit

About this role

The Lead Data Scientist in Methodologies at Tilt will focus on developing and advancing foundational modeling approaches using deep learning techniques such as neural networks, embeddings, and transformers to enhance credit modeling and loss prediction. This role involves collaborating with data scientists and engineers to design practical solutions that address financial data challenges, while also measuring the impact of models on customer outcomes. Candidates should have experience in applying machine learning to real-world financial problems and possess strong communication skills for translating complex ideas.

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Required Skills

Deep Learning
Neural Networks
Transformers
Framework Development
Credit Modeling
Loss Prediction
ML Pipelines
Data Science
Communication Skills
Financial Services Experience

+4 more

About Tilt

tilt.com

Tilt is a financial technology company that provides innovative solutions to help individuals access cash and credit by evaluating their income and spending habits rather than relying solely on credit scores. With a mission to empower users, Tilt offers services such as cash advances, lines of credit, and credit cards. Their unique approach is designed to approve 3 in 4 applicants for cash or credit today, making financial options more accessible. By leveraging real-time data, Tilt aims to support responsible financial management and build a brighter financial future for its customers.