About this opportunity
Unchain Data lists this Staff Data Scientist, Payments and Fraud opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
About Courtyard
Courtyard.io is the fastest-growing collectibles startup, ever. We are revolutionizing the world of collectibles trading by enabling instant liquidity and delivering a high-velocity, immersive experience. From trading cards to comics, we're redefining how people discover, collect, and unlock value.
Courtyard is not just another marketplace. All assets are securely vaulted and fully insured, giving collectors peace of mind alongside unmatched speed and simplicity. Whether you're investing, discovering, or curating your dream collection, we've built a platform that's trusted, simple, and built for speed.
We're a remote-first company hiring across all functions to push the boundaries of what's possible in collectibles and digital ownership.
The Role
Courtyard is hiring a Staff Data Scientist to own fraud, risk, and payments analytics and models. This is an embedded role to the payments and fraud team, and it comes with real autonomy: you'll decide what we detect, how we measure loss, and where the tradeoff sits between stopping abuse and getting in a good customer's way. You'll work across engineering, operations, finance, and product.
Responsibilities
Own detection end to end — from finding the signal, to the model or rule, to something running in production that changes an outcome
Build the resolution and network analysis that surfaces coordinated behavior rather than one bad account at a time
Own how we measure risk
Partner with marketing and product to pressure-test incentive and referral mechanics before launch, not after
Own the analytical case for our identity and payments risk vendors
Analyze disputes, chargebacks, and authorization performance, and manage the approval-versus-loss tradeoff deliberately
Work with operations on review queue design — what escalates, what gets decided automatically, and where reviewer time is worth spending
Make risk exposure legible to leadership
Requirements
6+ years of industry data science/analytics experience, with meaningful time on fraud, risk, trust and safety, or payments
Self-driven — you find the exposure nobody flagged and come back with a recommendation, not an observation
High-velocity execution: Proven experience building high-volume risk evaluation systems and conducting complex vector analysis. You know how to build rules, run experiments, and hit the ground running.
Comfort operating where labels are late, ambiguous, or contested
Strong graph and network thinking, paired with excellent judgment about asymmetric costs (for example, balancing false positives against fraud loss)
Experience with payments depth (disputes, authorization, card network monitoring programs), identity verification, on-chain analytics, or two-sided marketplaces
Benefits
A dynamic and engaging environment focused on fostering real growth and innovation
Opportunities to create amazing products that our customers truly love and value
Comprehensive health insurance packages with dependent coverage
Competitive salary with ample opportunities for career advancement and development
Fully remote work environment
401(k) plan with a 4% employer match to help you plan for the future
$100 monthly dogfooding stipend to support trying out our products firsthand
Access to employee wellness programs designed to support your overall well-being
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.