Data Scientist, Payments
$112K/yr – $168K/yr
You'll complete your application on the employer's website.
$112K/yr – $168K/yr
You'll complete your application on the employer's website.
Job type
Salary
$112K/yr – $168K/yr
Location
Sector
Posted
18 days ago
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
Preferred
experience with payments or banking
Benefits
Remote work
Medical insurance
Flexible time off
Retirement savings plans
Modern family planning
Glassdoor
3.3
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square.
Oakland, California, USA
https://block.xyz
Distribution of Different Job Fields Receiving Sponsorship
78
Represents job field similar to this job
Engineering and Development
Product Management
Accounting and Finance
Management and Executive
Marketing
Sales
Customer Service and Support
Creatives and Design
Legal and Compliance
Human Resources
Trends of Total Sponsorships
*2026
(114)
2025
(257)
2024
(253)
Qualifications
a quantitative, AI-fluent early-career professional
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
A quantitative, AI-fluent early-career professional
Experience with payments or banking
Required skills
Represents the skills you have, click on the tags, SQL, Large-scale data analysis, Systems architecture
Preferred skills
experience with payments or banking
Experience
Entry level
Interested in this role?
Apply directly on the employer's website — it only takes a few minutes.
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