# Staff Data Scientist, Payments and Fraud at Courtyard

- Company: Courtyard
- What the company does: Rip digital packs, reveal physical trading cards. Buy and sell Basketball, Baseball, Football, and Pokémon cards graded by PSA, CGC, and BGS. Redeem worldwide. Backed by NEA and Y Combinator.
- Company website: https://courtyard.io/
- Type: Startups
- Level: Senior
- Location: United States
- Work setup: On-site
- Posted: 2026-08-21
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/courtyardinc/jobs/4378940009
- Page: https://www.1752.vc/careers/jobs/courtyard-staff-data-scientist-payments-and-fraud/

## About 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.

## What they're looking for

- 6+ years of industry DS/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)
- Payments depth (disputes, authorization, card network monitoring programs), identity verification, on-chain analytics, or two-sided marketplaces

Tags: Engineering