Applied Data Scientist (Fintech)

Location: Jerusalem, Israel; hybrid work with required office attendance twice a week on Mondays and Wednesdays.

Company

hirify.global provides an AI operating system for ecommerce brands, combining business data, measurement, automation, and actionable AI.

What you will do

• Own the data science strategy for financial products from roadmap definition and model development through production deployment and governance.
• Build decisioning models across merchant eligibility, underwriting, risk assessment, repayment behavior, and growth forecasting.
• Convert ecommerce, revenue, marketing, and operational data into signals for financial-product decisions and partner evaluations.
• Develop scalable data products, APIs, internal tools, and explainable recommendations with Product, Engineering, Finance, Legal, and Operations.
• Design measurement frameworks covering funnel performance, repayment outcomes, adoption, partner performance, and unit economics.
• Establish model validation, monitoring, governance, and a long-term fintech data science roadmap.

Requirements

• 6+ years of applied data science, machine learning, quantitative modeling, or related experience.
• Ability to work from the Jerusalem office twice a week, on Mondays and Wednesdays.
• Experience leading complex data science initiatives from ambiguous business problems through design, validation, deployment, and iteration.
• Strong expertise in predictive modeling, risk modeling, forecasting, classification, causal inference, experimentation, or statistical decisioning.
• Strong Python and SQL skills, with experience in production or production-adjacent data environments.
• Ability to build explainable, monitorable models and communicate technical tradeoffs, limitations, and business implications clearly.

Nice to have

• Experience in fintech, lending, credit, underwriting, risk, payments, banking, insurance, capital markets, or financial-services data science.
• Experience with financial decisioning, eligibility, pricing, fraud or risk models, repayment modeling, cash-flow modeling, or time-series forecasting.
• Familiarity with model governance, explainability, compliance-aware analytics, and regulated or high-trust environments.
• Experience with merchant, ecommerce, marketplace, payments, or revenue data and partner integrations.
• Experience building an analytical function, operating model, or roadmap for a new product line.

Culture & Benefits

• High-ownership role at the intersection of product, data science, and capital markets.
• Cross-functional collaboration with Product, Engineering, Finance, Legal, Operations, executives, and external capital partners.
• Opportunity to work with real-time data from more than 60,000 ecommerce brands.
• Fast-paced environment focused on customer impact, trust, curiosity, integrity, and rapid iteration.
• Equal opportunity workplace committed to diversity and inclusion.