Data Scientist, Payments

You will use AI and data tools to optimize payments performance, cost efficiency, and risk mitigation. You will partner with Product, Engineering, Finance, and Operations; design experiments; research business questions; build ETL pipelines, dashboards, and machine learning models; and maintain cloud data infrastructure and systems.

Responsibilities

• Leverage AI to create scalable data tools, agents, and automations
• Partner with Product, Engineering, Finance, and Operations to systemize data-driven decisions
• Measure and optimize payments-stack cost and performance
• Serve as a subject-matter expert on the payments business and implementation
• Identify process gaps and opportunities
• Design, run, and analyze experiments
• Research questions independently and produce actionable insights
• Build ETL pipelines, dashboards, and machine learning models
• Translate business needs into practical data solutions
• Design, implement, and maintain data systems and architecture
• Maintain and improve cloud data infrastructure and tooling
• Operationalize data processes and systems

Requirements

• Bachelor’s degree in a quantitative field with a strong academic record
• Internship experience working with code
• Experience using SQL and Python with large datasets
• Experience using AI tools for development, data workflows, and automation
• Analytical expertise and business acumen
• Ability to communicate with non-technical partners
• Knowledge of systems architecture and cloud infrastructure
• Experience with payments or banking

Benefits

• Remote work
• Medical insurance
• Flexible time off
• Retirement savings plans
• Modern family planning