Payments Data Scientist — AI-Driven Analytics & Pipelines

Square; San Francisco (CA); Remote; USD 112,000 - 167,000; Full time

Benefits offered by this job

Remote work

Medical insurance

Flexible time off

Retirement savings plans

Modern family planning

Job summary

Square seeks a quantitative, AI-fluent data science professional early in career to optimize payments data. You will partner with Product, Operations, Finance, and Engineering, building scalable data tools and ML models to drive cost efficiency and risk mitigation.

Assets include ETL pipelines, dashboards, and cloud infrastructure. Global impact across Square and Cash App aligns with our omnichannel strategy and growth goals.

Qualifications

• 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.

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.

Skills

SQL

Python

AI tools

Data analysis

Communication

Education

Bachelor's degree in a quantitative field

Tools

ETL pipelines

Dashboards

Airflow

Cloud platforms

Job description

Square seeks a quantitative, AI-fluent data science professional early in career to optimize payments data. You will partner with Product, Operations, Finance, and Engineering, building scalable data tools and ML models to drive cost efficiency and risk mitigation.

Assets include ETL pipelines, dashboards, and cloud infrastructure. Global impact across Square and Cash App aligns with our omnichannel strategy and growth goals.