Staff Data Scientist
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Job Description
Staff Data Scientist enhancing credit modeling and risk analytics for Cashalo, supporting funding for underserved communities in the Philippines. Join a lean team using advanced modeling techniques with a focus on data-driven decisions.
Responsibilities:
- Join the Tilt team
- Help expand Tilt’s credit modeling and risk analytics capability for our Philippines-based business, Cashalo.
- Build and refine underwriting models as well as other models, working at the intersection of credit, data science, and leadership.
- Collaborate with a lean but growing team, applying advanced modeling techniques to predict loss performance, leverage alternative data sources, and build next-generation tools that shape credit access for millions.
- Partner directly with cross-functional teams across credit, engineering, and leadership, bringing strong project and stakeholder management skills to a lean, fast-growing team.
Requirements:
- Deep expertise in predictive modeling, ideally within credit risk or actuarial settings.
- Strong proficiency in Python, SQL, and ML libraries like scikit-learn, LightGBM, XGBoost.
- Familiarity with AI tools such as GitHub Copilot or LLM-based assistants.
- Experience building models from scratch.
- Strong stakeholder management skills; experience partnering with cross-functional teams to drive outcomes.
- Clear communication skills, including the ability to present complex findings to non-technical leadership.
- Experience working in high-growth, ambiguous environments with lean teams.
Benefits:
- 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.
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