Senior Data Scientist, Methodologies

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $164k - $192k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 1%

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Tilt (formerly Empower)

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

👥 B2C

💸 Finance

Fintech • B2C • Finance

Tilt is a financial technology company that provides cash advance, lines of credit, and credit card services aimed at empowering customers financially. With an emphasis on accessibility, Tilt offers flexible repayment plans and eligibility irrespective of a customer's credit history, enabling individuals to qualify based on their real-time financial habits. The platform is user-friendly, boasting positive customer experiences and a high rating, making it a convenient option for those seeking to manage their finances and build credit effectively.

📋 Description

• Build, train, and evaluate deep learning models on Tilt's financial data • Ship models and model components into existing ML pipelines to improve credit modeling and loss prediction • Own projects end to end, from hypothesis to a model in use • Collaborate with data scientists, engineers, and product partners to turn results into practical solutions • Run representation learning experiments, including pretraining and fine-tuning, on real financial data • Share findings and help peers adopt new deep learning methods • Measure model impact through customer and partner outcomes, not only accuracy • Use agentic development tools such as Claude Code and Codex to accelerate experimentation, feature engineering, and model iteration • Build and improve specialized agents supporting data science workflows

🎯 Requirements

• Hands-on experience building and training deep learning models • Comfort working with modern ML frameworks such as PyTorch or TensorFlow • Experience applying ML to real-world problems, ideally in financial services such as credit, lending, payments, or banking • Experience taking a project from an open question to a measurable business outcome • Clear, thoughtful communication of technical ideas • Bonus: hands-on experience building with LLMs or agent frameworks, or excitement to learn

🏖️ Benefits

• WFH office reimbursement • Competitive compensation packages • Generous equity • Flexible health plans at every premium level • Substantial health plan subsidies • Direct exposure to the leadership team • Paid global onsites twice yearly • Growth opportunities based on contributions

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