Associate Fraud Risk Data Scientist

Job Description

Now Hiring : Associate Fraud Risk Data Scientist | Hybrid

Work Location : San Jose, CA

Work type : Contract (W2 only)

Work Authorization : Only GC or US Citizens

About the Role

We are seeking a talented and driven Fraud Risk Data Scientist to join our Risk Data & AI Innovation team. In this role, you will design and deploy AI / ML models to detect fraud, mitigate risk, and reduce losses across eCommerce and payments ecosystems. You’ll collaborate with product, engineering, and business stakeholders to develop scalable, real-time fraud detection solutions while driving AI transformation within risk management.

This is an exciting opportunity for someone passionate about combining data science, machine learning, and business impact in the fraud and risk domain.

Key Responsibilities

• Design, develop, and implement machine learning and AI models for fraud detection and risk mitigation.
• Support stakeholders in effectively leveraging models for risk decision-making.
• Partner with product and engineering teams to deploy and monitor models at scale in real-time environments.
• Conduct statistical analysis and data science to solve complex fraud and risk problems.
• Build dashboards and visualizations (e.g., Tableau) to track KPIs and model performance.
• Communicate insights, results, and recommendations clearly to technical teams, business partners, and executives.
• Drive AI transformation across risk management activities, including experimenting with LLMs and other emerging AI tools.

Required Skills & Qualifications

Requirements

Risk Analytics, Fraud Mitigation, Python, SQL, AWS Quicksight, Tableau