freehire launches on Product Hunt on 26 August. Follow the page and you'll hear the moment it opens.
Follow →Build and refine AI models to detect fraud and abuse for a fintech-focused company using machine learning and data analysis.
Location: Mountain View, California, United States
Workplace: hybrid
Employment Type: full
A hands-on Data Scientist at DataVisor designs and optimizes machine learning models for an AI-powered fraud and anti-money laundering (AML) platform, working on pre-built detection strategies, cold start logic, and collaborating with cross-functional teams to build scalable defenses.
Builds and validates predictive models and AI solutions for financial use cases, focusing on fraud detection and decision-making, using Python, R, SQL, and generative/agentic AI techniques.
Build and deploy AI/ML models and generative AI applications for fraud detection, risk scoring, and personalization in embedded payments for fintech.
Design and deploy AI-driven fraud detection and risk models for a fintech company, analyzing transaction data and collaborating with cross-functional teams.
Build and deploy AI models to detect fraud and risk in ecommerce transactions using Python, SQL, and machine learning techniques.