Data Scientist, Antifraud

Highlights

• Own account-abuse scoring to catch fraud before compute is burned.
• Find fraud rings via payment, IP and behavioral linkage without device fingerprint.
• Separate true abuse from unprofitable pricing with defensible unit economics.

What they offer

• Competitive salary in USD
• Equity: participation in stock option program
• Relocation support (flight + temporary housing)
• Flat structure, high autonomy, fast career growth

Ideal candidate

Fraud or risk-minded data scientist who thinks in precision, cost of error, and unit economics and is comfortable owning enforcement with real customer impact in a fast-adapting adversarial environment.

Requirements

• Comfort with graph and linkage thinking, connected components and shared-attribute clustering
• Precision-first evaluation instincts with cost-weighted error at the operating point
• Unit-economics literacy including gross margin per account and compute costs
• Judgment to escalate rather than act when evidence is thin
• Clear written and spoken English, B2+