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DataVisor
Mountain View, CA, US
Source: DataVisor careers · View original posting
From DataVisor's posting. “We” and “our” refer to the employer.
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time.
Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Role Summary
We are seeking a hands-on Data Scientist to own the detection strategy behind our AI-powered Fraud and AML Solutions suite. You will design the logic that decides what gets flagged — typologies, segmentation, thresholds, and false-positive tradeoffs — across Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding. You will also solve the industry-wide "Cold Start" problem: designing detection that protects new clients from day one, before their historical data is available.
This is a strategy and analytics role, and it is also a hands-on solutions role. Alongside designing detection, you will configure the platform that runs it, stand up tenants, write the documentation clients and colleagues rely on, and answer questions from teams across the company. You will work in Python and SQL every day, but the core of the job is judgment about risk.
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