Applied Data Scientist, Fintech Initiatives
HybridJerusalem, Jerusalem, Israel
Job Summary
Own the end-to-end data science strategy for Triple Whale's financial products, from roadmap and model development to production deployment and governance. Build models and decisioning frameworks across the full lending lifecycle, including merchant eligibility, underwriting, risk assessment, and growth forecasting. Translate ecommerce, revenue, and operational data into actionable signals that power financial-product decisions and partner evaluations. Partner with Product, Engineering, Finance, Legal, and Operations to turn analytical work into scalable data products and explainable recommendations. Design measurement frameworks spanning funnel performance, repayment outcomes, and unit economics while establishing model validation, monitoring, and governance practices. Define the long-term fintech data science roadmap and work from the Jerusalem office two days a week.
Required Qualifications
- 6+ years of applied data science, machine learning, quantitative modeling, or related experience
- Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday)
- Experience leading complex data science initiatives from ambiguous business problems through model design, validation, deployment, and iteration
- Strong modeling depth across areas such as predictive modeling, risk modeling, forecasting, classification, causal inference, experimentation, or statistical decisioning
- Strong Python and SQL skills, with experience working in production or production-adjacent data environments
- Ability to build models that are not just accurate, but explainable, monitorable, and useful to business operators
- Strong product judgment and ability to partner with Product and Engineering on customer-facing or internal decisioning systems
- Comfort working with cross-functional stakeholders, including executives, Finance, Legal, Operations, and external partners
- Excellent communication skills, especially the ability to explain technical tradeoffs, model limitations, and business implications clearly
- Ability to operate with high ownership in an early-stage initiative where the roadmap is still being defined
Desired Qualifications
- Background in fintech, lending, credit, underwriting, risk, payments, banking, insurance, capital markets, or financial-services data science
- ecommerce, DTC, retail, or merchant financing experience
- Proven track record building or evaluating models used in financial decisioning, eligibility, pricing, fraud/risk, or portfolio performance
- time-series forecasting, repayment modeling, or cash-flow modeling
- Familiarity with model governance, explainability, compliance-aware analytics, and responsible deployment in regulated or high-trust environments
- Hands-on work with merchant, ecommerce, marketplace, payments, or revenue data
- Has evaluated third-party data providers, fintech platforms, lenders, or capital partners from a data and risk perspective
- familiarity with partner integrations, decision APIs, or embedded-finance products
- Has built or scaled an analytical function, operating model, or roadmap for a new product line
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