Block
Posted 10 days agoVerified live 1d ago
Data Scientist, Payments
Brief overview
Remote
UndergradOr in progress
$112k–$168k/yrStated range
3+ yrsMinimum
707 H-1B approvalsDept. of Labor
192 green cardsCertified filings
SQLPythonSystems ArchitectureCloud Infrastructure
About the company
Blockblock.xyz
Block is one company built from many blocks, all united by the same purpose of economic empowerment.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.707H-1B approved
98%approval rate
122new H-1B hires
192PERM certified
$195,264median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
2023233
2024231
2025227
202616
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202373
202460
202535
202622
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202357
202455
202574
20266
Top sponsored roles
Software EngineerMachine Learning EngineerBusiness Intelligence AnalystSenior Software EngineerData Scientist
Sponsored employees from
IndiaChinaCanadaAustraliaMalaysia
Job description
Summary
Block is a technology company whose Square and Cash App businesses provide commerce and financial services. The Data Scientist, Payments will use quantitative analysis, AI, and data tools to optimize payments performance, cost efficiency, and risk mitigation while partnering with Product, Operations, Finance, and Engineering. The role also involves building data systems, experiments, pipelines, dashboards, machine learning models, and cloud infrastructure.
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
- 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
Qualifications
Must Haves
- 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
- Bonus: experience with payments or banking
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
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