Fraud Risk ML Scientist (Hybrid, Real-Time)

globalplacementfirm; San Jose (CA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

GlobalPlacementFirm in San Jose, CA is seeking an Associate Fraud Risk Data Scientist to design and deploy ML/AI solutions that detect and mitigate fraud across risk management. Collaborate with cross-functional teams, leverage large datasets, and deliver scalable, measurable fraud prevention insights.

The role emphasizes real-time deployment, dashboards (Tableau, AWS QuickSight), and translating complex analytics for business stakeholders in a hybrid, 1-year contract setting.

Qualifications

• 26 years of hands-on experience in fraud analytics, data science, or risk analysis in eCommerce, online payments, or product abuse environments.
• Proficient in ML, statistical modeling, and AI development frameworks.
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related quantitative field; strong technical communication.

Responsibilities

• Design and develop ML/AI models to detect and mitigate fraud risks.
• Analyze large datasets to extract insights and build predictive fraud models.
• Collaborate with product and engineering teams to implement and monitor models in real-time environments.
• Build dashboards and visualizations (Tableau, AWS QuickSight) to track key model performance indicators.
• Support AI/ML initiatives and projects across the risk management space.
• Deliver clear and compelling presentations of complex analytical findings to both technical and non-technical stakeholders.
• Drive transformation of risk analytics through AI innovation.
• Contribute to ongoing fraud loss mitigation strategy and reporting.

Skills

Fraud analytics

Data science

Risk analysis

ML

Statistical modeling

AI development

SQL

Python

AWS S3

Tableau

Education

Bachelor's or Master's in Data Science/Statistics/CS

Tools

Tableau

Grafana

Power BI

AWS QuickSight

Job description

GlobalPlacementFirm in San Jose, CA is seeking an Associate Fraud Risk Data Scientist to design and deploy ML/AI solutions that detect and mitigate fraud across risk management. Collaborate with cross-functional teams, leverage large datasets, and deliver scalable, measurable fraud prevention insights.

The role emphasizes real-time deployment, dashboards (Tableau, AWS QuickSight), and translating complex analytics for business stakeholders in a hybrid, 1-year contract setting.