Data Scientist, Payments
Bay Area, CA · US - CA - Bay Area - Remote · Remote · Posted Sep 24, 2026
At a glance
- Workplace
- Remote
- Location
- Bay Area, CA · US - CA - Bay Area - Remote
About the role
- This is an early-career data science role focused on payments data across Square and Cash App.
- The role involves partnering with Product, Operations, Finance, and Engineering to optimize the payments platform through data-driven insights and AI-powered tools.
Responsibilities
- Leverage AI to create scalable data tools, agents, and automations
- Partner with Product, Engineering, Finance, and Operations teams to systemize and make data-driven decisions
- Measure and optimize the cost and performance of our payments stack
- Serve as a subject-matter expert on our payments business and implementation
- Proactively identify gaps and opportunities in our processes
- Design, run, and analyze experiments
- Independently research questions and produce actionable insights
- Build ETL pipelines, dashboards, and machine learning models
- Translate open-ended business needs into practical data solutions
- Design, implement, and maintain data systems and system architecture
Requirements
- Bachelor’s degree in a quantitative field with a strong academic record
- Experience working with code at an internship
- Experience working with large datasets using code, including SQL and Python
- Experience using AI tools to accelerate development, improve data workflows, and automate processes
- Strong analytical expertise and business acumen
- Strong ability to communicate with non-technical partners
- Knowledge of systems architecture and cloud infrastructure
Preferred qualifications
- Experience with payments or banking
Benefits
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
Workplace
- Remote work available
Skills
- SQL
- Python
- AI Tools
- ETL
- Machine Learning
- Cloud Infrastructure
