After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. We are looking for a quantitative, AI-fluent early-career professional to fill a data science role focused on payments data across Square and Cash App. You will partner closely with Product, Operations, Finance, and Engineering, leveraging data tools to optimize our payments platform from success rate, to cost efficiency, to risk mitigation. In addition to vertical work focused on the Payments domain, we also expect you to contribute to horizontal initiatives across the broader Data Org from data systems, to process and tooling.
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
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
Stand up, maintain, and improve cloud data infrastructure and tooling
Operationalize data processes and systems
A 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
Knowledge of systems architecture and cloud infrastructure
Bonus: experience with payments or banking
Application Guidelines
Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.
Use of AI in Our Hiring Process
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
Contact us here with hiring practice or data usage questions.
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Together, we’re helping build a financial system that is open to everyone.
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