Staff Data Scientist, Payments & Fraud — Remote Impact

Unchain Data; Northern (KY); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Fully remote work environment

Comprehensive health insurance with de

401(k) plan with 4% employer match

$100 monthly dogfooding stipend

Wellness programs

Job summary

Courtyard.io is hiring a Staff Data Scientist to own fraud, risk, and payments analytics and models. This embedded role will decide detection strategies, measure loss, and balance abuse prevention with customer experience across finance, product, and engineering.

Responsibilities include end-to-end detection, network analysis for coordinated behavior, risk measurement, vendor management, and review-queue design. Remote-first, fast-growing startup environment with strong incentives.

Qualifications

• 6+ years of industry data science/analytics experience in fraud, risk, trust and safety, or payments.
• Self-driven; you identify exposure and propose solutions, not just observations.
• High-velocity execution; experience building high-volume risk evaluation systems and conducting vector analysis.

Responsibilities

• Own end-to-end detection from signal to production rules or models.
• Build analysis to surface coordinated behavior rather than single accounts.
• Measure and own risk metrics and thresholds.
• Collaborate with marketing and product to test incentives and referrals before launch.
• Evaluate identity and payments risk vendors and strategies.
• Analyze disputes, chargebacks, and authorization performance; balance risk and loss.

Skills

Fraud analytics

Risk assessment

Payments analytics

Graph/network analysis

Experimentation

Job description

Courtyard.io is hiring a Staff Data Scientist to own fraud, risk, and payments analytics and models. This embedded role will decide detection strategies, measure loss, and balance abuse prevention with customer experience across finance, product, and engineering.

Responsibilities include end-to-end detection, network analysis for coordinated behavior, risk measurement, vendor management, and review-queue design. Remote-first, fast-growing startup environment with strong incentives.