Data Scientist
Core
Build and launch fraud prevention product features by translating research into actionable insights for digital merchants.
Role type
Founding member data scientist (product & engineering)
Builds
DyScan software library for credit card fraud prevention
Domain
Fintech / Digital Payments / Fraud Prevention
Deliverable
product features
Required skills
data science, software engineering, research-to-product translation, independent ownership, product-first approach
Preferred skills
experience with emerging fraud trends, rapid analysis-to-action execution
Technologies
N/A
Responsibilities
Track emerging fraud trends, translate insights into product improvements, build and launch new ideas
Seniority
Founding member, high autonomy
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