Senior Data Scientist, Methodologies

Tilt Finance; Oregon; Híbrido; USD 120.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

WFH office reimbursement

Competitive compensation

Generous equity

Global onsite visits

Descripción de la vacante

Tilt Finance is seeking a Senior Data Scientist to join the Methodologies group. You will build and test deep learning models on real financial data, advancing foundational modeling approaches to support credit decisioning and customer behavior analysis.

You will work with a small, senior team to take ideas from concept to working models, using agentic tools to accelerate experimentation and product integration. The role emphasizes collaboration, learning, and high-impact results.

Formación

• Hands-on experience building and training deep learning models.
• Experience with modern ML frameworks (PyTorch, TensorFlow) and transformer-based methods.
• Experience applying ML to real-world financial services problems (credit, lending, payments, or banking).
• Ability to translate experiments into measurable business outcomes.
• Excellent communication to explain technical ideas to non-technical stakeholders.

Responsabilidades

• Build, train and evaluate deep learning models on Tilt's financial data.
• Ship models and components that plug into Tilt's ML pipelines to improve credit modeling and loss prediction.
• Own projects end to end from hypothesis to production use with guidance from leads.
• Collaborate with data scientists, engineers and product partners to operationalize results.
• Run representation learning experiments including pretraining and fine-tuning on real financial data.
• Share findings and help peers adopt new deep learning methods.

Conocimientos

Deep learning

PyTorch

TensorFlow

LLMs

Clear communication

Financial services experience

Herramientas

Claude Code

Codex

Descripción del empleo

Join the Tilt team

At Tilt, we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. With millions of customers worldwide, we're not just changing how people access financial products — we're creating a new credit system that backs the working, whatever they're working toward. The opportunity At Tilt, we're constantly exploring new ways to understand financial behavior and reduce risk. The work you do in this role will go directly into the foundational models we're building for our products. We're looking for a Senior Data Scientist to join our Methodologies group — a role focused on building and advancing foundational modeling approaches. You'll build and test deep learning methods such as transformers to improve how we understand financial data and make lending decisions. This is a great role for someone who's deeply curious about new modeling techniques and wants to see their ideas make a real difference. You'll work with a small, experienced team of data scientists and engineers, taking projects from first idea to working model on financial data challenges — from credit decisioning to customer behavior! You'll also be at the forefront of how data science is practiced in the age of AI agents. Our team builds with agentic tools every day, and you'll use them in your own work and help build the specialized agents that speed up both DS and business workflows. We're looking for someone who enjoys learning, experimenting, and collaborating — a person who can connect technical exploration to meaningful business impact. If you're excited by applying new methodologies in ways that help people access fairer credit, you'll fit right in.

How you'll make an impact

• Build, train and evaluate deep learning models on Tilt's financial data.
• Ship models and model components that plug into Tilt's existing ML pipelines to improve credit modeling and loss prediction.
• Own your projects end to end, from hypothesis to a model in use, with general direction from the team's leads.
• Work closely with data scientists, engineers, and product partners to turn your results into practical solutions.
• Run representation learning experiments — including pretraining and fine-tuning — on real financial data, with a clear design up front and an honest read on what worked.
• Share findings and help peers pick up new deep learning methods.
• 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.
• Build and improve specialized agents that support DS workflows.

Why you're a great fit

• Hands-on experience building and training deep learning models.
• 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).
• Experience taking a project from an open question to a measurable business outcome.
• 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. You see agents as a way to multiply what a small, senior team can do.

Don’t meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you.

What you'll get at Tilt

• Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You’ll get started with a WFH office reimbursement.
• Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity.
• Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards.
• Visibility is yours: You can count on direct exposure to our leadership team — we’re a team where good ideas travel quickly.
• Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We’ve visited Vail, San Diego, and Mexico City, to name a few.)
• Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines.

The Tilt Way

We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable — brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures.You’re pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve.