Data Scientist, Payments

Block•Bay Area, CA, United States of America, CA

2d•$95,000 - $167,500•Remote

About The Position

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.

Requirements

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

Nice To Haves

experience with payments or banking

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
Stand up, maintain, and improve cloud data infrastructure and tooling
Operationalize data processes and systems