Associate Fraud Risk Data Scientist

San R&D Business Solutions • San Jose, CA

1d • Hybrid

About The Position

We are seeking a talented and dedicated Fraud Risk Data Scientist to join our Risk Data & AI Innovation team. The ideal candidate will have a strong background in machine learning, data science, and analytics—specifically in risk and fraud detection. You will play a key role in designing, developing, and implementing AI and ML models to detect and mitigate fraud, while driving AI transformation within the risk management space.

Requirements

• Strong proficiency in SQL and Python (including key data science libraries).
• Experience with AWS and data visualization tools such as Tableau or AWS Quicksight.
• Proficient in handling large datasets and performing complex data manipulations.
• Ability to apply statistical and machine learning techniques to solve complex business problems.
• Proven ability to clearly articulate technical results to both technical and business stakeholders.
• Comfortable with ambiguity, capable of turning unclear problems into measurable business outcomes.

Nice To Haves

• Experience or aptitude in applying AI and data science solutions to risk and fraud problems.
• Familiarity with AI tools such as LLMs (Large Language Models) for risk-related use cases.
• Strong project management and stakeholder collaboration skills.

Responsibilities

• Design and develop machine learning and AI models to detect and mitigate fraud and risk.
• Perform data analysis, statistical modeling, and model monitoring to ensure accuracy and efficiency.
• Collaborate with cross-functional teams including product, engineering, and operations to deploy and refine models in real time.
• Support stakeholders in effective model utilization and integration into business processes.
• Develop dashboards and visualizations (e.g., Tableau, AWS Quicksight) to track key performance metrics.
• Communicate analytical findings and model insights to technical and non-technical audiences, including executives.
• Drive AI innovation within risk management activities, leveraging advanced data science and analytics.

What This Job Offers

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