Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Block

Data Scientist, Payments

Block

. Leverage AI to create scalable data tools, agents, and automations .

Posted 11/4/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $111,700 - $167,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leveraging AI for scalable data solutions, including building ETL pipelines and machine learning models. Proficient in translating business needs into actionable insights while optimizing data processes and systems architecture.

Highest-signal resume keywords
AI Tools UtilizationSQL ProficiencyPython ProgrammingData Systems ArchitecturePayments Industry Knowledge

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
ETL Pipeline DevelopmentMachine Learning Model BuildingData AnalysisExperiment DesignData Optimization
Soft Skills
Analytical ExpertiseBusiness AcumenCommunication with Non-Technical Partners
Tools & Technologies
Cloud Data InfrastructureData Automation Tools
Industry Keywords
PaymentsBanking

Tech Stack

Tools & technologies
CloudETLPythonSQL

About the role

Key responsibilities & impact
  • 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 the payments stack
  • Serve as a subject-matter expert on the payments business and implementation
  • Proactively identify gaps and opportunities in 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Remote work
  • Medical insurance
  • Flexible time off
  • Retirement savings plans
  • Modern family planning