Staff Data Scientist, Algorithm (Payments Fraud & Optimization)
Core
Design and implement advanced algorithms to optimize payment conversion rates, fraud risk, and transaction costs for a global financial platform.
Role type
Staff Data Scientist (Algorithmic Optimization)
Builds
Production ML systems for payments optimization and experimentation infrastructure
Domain
Fintech / Global Payments
Deliverable
production ML models
Required skills
Multi-objective optimization, contextual bandits, causal inference, A/B testing, SQL, Python, R, LLMs, AI agents
Preferred skills
Deploying ML systems to production, technical leadership in high-growth environments
Technologies
Python, R, SQL
Responsibilities
Define technical strategy for payments optimization; act as technical owner for cross-functional initiatives; provide thought leadership on optimization algorithms and experimentation; collaborate with engineering to build tools and deploy ML systems; partner with cross-functional teams to influence product strategy; communicate complex data insights to stakeholders; mentor junior data scientists and engineers
Seniority
Staff, hands-on IC with strategic influence
