tilthq - Staff Data Scientist, Cashalo
Requirements
• 3. Skills Panel: Meet with Tilt and Cashalo team members to discuss your expertise and problem-solving approach through real-world scenarios. • 4. Leadership Conversation: A final conversation with our CEO to discuss our mission and how you could contribute to it (and how we can help you achieve your career goals along the way). • 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. • 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 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.
Benefits
• 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. • Fintech experience - especially in credit/lending models or alternative underwriting. • Familiarity with legacy credit systems and how to modernize them. • Familiarity with funnel management and ways to novate reject rules into modeling outcomes • Exposure to the Philippines' credit markets and ability to transfer insights between geographies. • Experience with models across the loan life cycle • Knowledge of deep learning frameworks (TensorFlow, PyTorch) and modelling (CNN, RNN) — a plus but not essential. • OUR INTERVIEW PROCESS • 1. Initial Recruiter Call: A conversation to learn about your experience and what you're looking for in your next role.
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