Data Scientist, Payments
Core
Early-career data scientist optimizing payments platform success, cost efficiency, and risk mitigation across Square and Cash App using AI and data tools.
Role type
Early-career quantitative data scientist (payments)
Builds
Scalable data tools, agents, automations, ETL pipelines, dashboards, and machine learning models for the payments stack
Domain
Fintech / Payments / Financial Services
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, AI tool usage, systems architecture, cloud infrastructure, experimental design, data pipeline construction
Preferred skills
Payments or banking domain experience
Technologies
SQL, Python, Cloud infrastructure
Responsibilities
Leverage AI to create scalable data tools and automations; Partner with Product, Engineering, Finance, and Operations to systemize data-driven decisions; Measure and optimize cost and performance of the payments stack; Design, run, and analyze experiments; Build ETL pipelines, dashboards, and ML models; Design, implement, and maintain data systems and system architecture; Stand up and improve cloud data infrastructure and tooling
Seniority
Early-career, hands-on IC