Associate Fraud Risk Data Scientist

Our client • San Jose, CA

6d • Hybrid

About The Position

Our client is seeking a talented, enthusiastic, and dedicated professional to join their Fraud Risk Data Science Team within our Risk Data & AI Innovation Organization. The incumbent will drive critical projects focused on fraud detection, risk analysis, and loss mitigation. We seek a strategic-minded data scientist who can make substantial, actionable impacts using AI and analytics to drive fraud risk management excellence.

Requirements

• 2-6 years of experience in machine learning, AI, data science, and risk analytics.
• Strong background in eCommerce, online payments, user trust, risk, fraud, or product abuse investigations.
• Bachelor's or Master's degree in Data Science, Analytics, Mathematics, Statistics, Data Mining, or a related field, or possess equivalent practical experience.
• Expertise in statistics and data science methods to solve complex business challenges.
• Proficiency in SQL, Python, AWS, Excel, and key data science libraries.
• Strong skills in data visualization, particularly Tableau.
• Comfortable working with large datasets.
• Strong SQL proficiency.
• Prior experience applying data science to fraud mitigation.

Nice To Haves

• Experience with LLMs and AI tools for risk use cases.

Responsibilities

• Designing, developing, and implementing machine learning and AI models to detect and mitigate fraud.
• Collaborating with stakeholders and cross-functional teams to deploy scalable, real-time fraud solutions.
• Monitoring model performance and refining AI tools.
• Supporting AI transformation initiatives within risk management.
• Creating dashboards and visualizations to track key performance indicators.
• Clearly communicating complex analytical insights to technical experts and business leaders alike.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree