Applied Research Scientist - Fraud Detection

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Job Title:

Staff Applied Research Scientist – Fraud Risk Modeling

We are seeking a highly experienced and strategic Staff Applied Research Scientist to lead the technical architecture and delivery of AI solutions that span multiple functional and technical boundaries  part of the AI Research team, you will define and own the vision for scalable, robust, and compliant AI/ML solutions; drive high-visibility, cross-functional initiatives from ideation through production; and mentor talent while aligning AI investments with business outcomes.

You will drive innovation and operational excellence in fraud risk modeling by developing advanced AI solutions that enhance the detection, prevention, and investigation of fraudulent activities. Your work will focus on designing and implementing models that identify and mitigate fraud not only in insurance claims, but also across payment processing, underwriting, policy management, and customer service interactions. By leveraging state-of-the-art machine learning and large language models, you will help GEICO proactively safeguard transactions and operational processes, ensuring comprehensive protection against fraud throughout the organization.

• Identify High-Impact Opportunities:
  Proactively surface and shape high-value AI/ML initiatives by engaging with product, engineering, and operations to align technical roadmaps with strategic business goals.
• Architecture & Technical Direction:
  Provide architectural leadership for AI/ML solutions impacting multiple stakeholders. Establish standards for scalability, reliability, observability, compliance, and cost efficiency across online and batch systems.
• Development & Productionization:
  Lead end-to-end delivery of AI/ML solutions, including model design, data pipelines, feature stores, evaluation, deployment, A/B testing, and monitoring in real-time and batch environments. Ensure clear plans, milestones, and on-time delivery.
• ROI Measurement & Experimentation:
  Establish robust mechanisms to quantify business impact, including KPI definition, experimentation frameworks, and causal inference approaches to guide decision-making and prioritize investments.
• Innovation & Research Integration:
  Stay current with cutting‑edge research in ML, GenAI, and optimization. Prototype and harden novel techniques that push the boundaries of innovation within GEICO’s insurance ecosystem. Set technical direction for multi‑quarter research initiatives; build evaluation frameworks, ensure reproducibility/responsible AI, and drive cross‑functional adoption; shepherd patents.
• Cross‑Functional
  
  Collaboration:
  
  Champion collaboration across Product, Engineering, Data Platform, Governance, Legal, and Operations to ensure responsible, compliant, and effective adoption of AI systems.
• Mentorship & Capability Building:
  Mentor junior and senior scientists, elevate technical standards (coding, testing, documentation, reproducibility), and foster a culture of scientific rigor and engineering excellence.
• Communication & Executive…