Job description

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. 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. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. 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. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. The Role 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. You Will 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 Stand up, maintain, and improve cloud data infrastructure and tooling Operationalize data processes and systems You Have 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 Strong analytical expertise and business acumen Strong ability to communicate with non-technical partners Knowledge of systems architecture and cloud infrastructure Bonus: experience with payments or banking Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location’s zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $111,700 — $167,500 USD Zone B: $106,100 — $159,100 USD Zone C: $100,500 — $150,700 USD Zone D: $95,000 — $142,400 USD 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. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. 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. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Privacy Policy

Requirements

Must-haves

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
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
Strong analytical expertise and business acumen
Strong ability to communicate with non-technical partners
Knowledge of systems architecture and cloud infrastructure
To find a location’s zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A: $111,700 — $167,500 USD Zone B: $106,100 — $159,100 USD Zone C: $100,500 — $150,700 USD Zone D: $95,000 — $142,400 USD 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

Nice-to-haves

Bonus: experience with payments or banking

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningsqlpython

Platform: greenhouse
Effort: quick