Payments Data Scientist - AI-Driven Insights

Block

California

Remote

USD 112,000 - 168,000

Full time

6 days ago
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Benefits offered by this job

Remote work
Medical insurance
Flexible time off
Retirement plan
Family planning

Job summary

Block is seeking a quantitative, AI-fluent data science professional for a data-focused role across Square and Cash App. You will partner with Product, Operations, Finance, and Engineering to optimize payments data, build scalable data tools, and improve cost efficiency and risk management.

This is an early-career opportunity with hands-on data system design and experimentation. You will develop ETL pipelines, dashboards, and ML models while translating business needs into practical data

Qualifications

  • Bachelor’s degree in a quantitative field with a strong academic record.
  • Experience coding during an internship.
  • Experience handling large datasets with SQL and Python.
  • Experience using AI tools to speed development and automate processes.
  • Strong analytical skills and business acumen.
  • Ability to communicate with non-technical partners.
  • Knowledge of systems architecture and cloud infrastructure.
  • Bonus: experience in payments or banking.

Responsibilities

  • Leverage AI to create scalable data tools, agents, and automations.
  • Partner with Product, Engineering, Finance, and Operations to systemize data-driven decisions.
  • Measure and optimize the cost and performance of our payments stack.
  • Serve as subject-matter expert on our payments business and implementation.
  • 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.

Skills

SQL
Python
AI tools
Data analysis
Communication
Cloud infrastructure
System architecture
Payments domain

Education

Bachelor's degree in a quantitative field

Job description

Block is seeking a quantitative, AI-fluent data science professional for a data-focused role across Square and Cash App. You will partner with Product, Operations, Finance, and Engineering to optimize payments data, build scalable data tools, and improve cost efficiency and risk management.

This is an early-career opportunity with hands-on data system design and experimentation. You will develop ETL pipelines, dashboards, and ML models while translating business needs into practical data

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