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Staff Data Scientist

Data Scientist

Posted Oct 28 (8 days ago)

Key facts

Staff data scientist building deep-learning credit models and specialized agents; remote across the US or EU.

How this salary compares

€14,022 - €17,527

Est. take-home €7,846 - €9,561

About 55% of gross pay
Where and how
Work model
On-siteHybridRemote
Level
Languages required
English

Original job ad

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 help shape how we use foundational models across our products. We’re looking for a Staff Data Scientist to join our Methodologies group — a role focused on building and advancing foundational modeling approaches. You’ll explore how deep learning methods such as neural networks, embeddings, and transformers can enhance 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 to design and apply deep learning methods to financial data challenges — from credit decisioning to transaction modeling. 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 we're creating 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 - Develop and test new modeling approaches using deep learning architectures such as transformers, embeddings, and neural networks. - Build and refine frameworks that integrate into Tilt’s existing ML pipelines to improve credit modeling and loss prediction. - Work closely with data scientists, engineers, and product partners to translate complex ideas into practical solutions. - Experiment with modern representation learning techniques — including pretraining and fine-tuning — on real financial data. - Share findings and mentor others, helping the team grow its deep learning capability. - 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. - Design and ship specialized agents that support DS and business workflows - these agents turn methodology into leverage across the company. WHY YOU’RE A GREAT FIT - Experience with deep learning — neural networks, embeddings, or transformers. - 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). - Strength in connecting data science to measurable business outcomes. - 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.

About the role

Summarised by JobCrawls from the job ad above.

Requirements

  • Experience with deep learning, including neural networks, embeddings or transformers
  • Familiarity with modern ML frameworks such as PyTorch or TensorFlow
  • Experience applying machine learning to real-world problems, ideally in financial services
  • Ability to connect data science to measurable business outcomes
  • Clear communication of technical ideas
  • LLM or agent-framework experience is a bonus

Responsibilities

  • Develop and test deep-learning modeling approaches
  • Build and refine frameworks for existing ML pipelines
  • Collaborate with data scientists, engineers and product partners
  • Apply pretraining and fine-tuning to financial data
  • Share findings and mentor colleagues
Show 3 more
  • Measure model impact on customers and partners
  • Use agentic tools to accelerate experimentation and model iteration
  • Design and ship agents for data science and business workflows

Skills & technologies

Deep LearningNeural NetworksEmbeddingsTransformersPyTorchTensorFlowMachine LearningPretraining
Show 6 more
Fine-tuningClaude CodeCodexFeature EngineeringLLMsAgent Frameworks

Benefits & perks

About Tilt

Tilt logo
Tilt · 2 open roles
Top locations (all time): Remote - EU · 3 · Remote - US · 2 · Remote - United Kingdom · 1
View company
Current open roles at Tilt on JobCrawls
LocationActive listings
Remote - EU3
Remote - US2
Remote - United Kingdom1
Current role mix at Tilt on JobCrawls
Role typeActive listings
Data Scientist3
Current role-level mix at Tilt on JobCrawls
Role levelActive listings
Senior3
About the employer

Tilt builds mobile-first financial products and machine-learning-powered credit models using real-time financial signals to expand access to fair credit.

Core values
ExcellenceImpactRespectLearning from mistakes

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