Staff Data Scientist - Payments & Fraud (Remote)

Courtyard, Inc.; Northern (KY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Fully remote work environment

401(k) plan with 4% employer match

Dogfooding stipend

Job summary

Courtyard.io is hiring a Staff Data Scientist to own fraud, risk, and payments analytics and models. This embedded role reports to the payments and fraud team, with autonomy to define detection, measure loss, and balance stopping abuse with good customers.

You’ll collaborate across engineering, operations, finance, and product to drive end-to-end risk initiatives and vendor evaluations, while influencing strategic decisions and product direction.

Qualifications

• 6+ years of DS/analytics experience focused on fraud, risk, trust and safety, or payments.
• Self-driven — you identify exposures others miss and propose actions.
• Experience building high-volume risk evaluation systems, rules, experiments, and productionizing models.
• Ability to operate in ambiguous environments and when labels are contested.

Responsibilities

• Own detection end-to-end from signal to production outcome.
• Develop risk measures and monitoring.
• Analyze disputes, chargebacks, and authorization performance to balance loss vs. customer impact.
• Collaborate with engineering, operations, finance, and product to optimize risk systems.
• Design review queues and determine when automation should replace manual decisions.
• Present risk insights to leadership and stakeholders.

Skills

Fraud analytics

Payments analytics

Graph thinking

Experimentation

Model development

Tools

SQL

Python

Spark

Job description

Courtyard.io is hiring a Staff Data Scientist to own fraud, risk, and payments analytics and models. This embedded role reports to the payments and fraud team, with autonomy to define detection, measure loss, and balance stopping abuse with good customers.

You’ll collaborate across engineering, operations, finance, and product to drive end-to-end risk initiatives and vendor evaluations, while influencing strategic decisions and product direction.