Sr Staff Research Scientist
GEICOAbout the role
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Job Title: Senior Staff Research Scientist
We are seeking a Senior Staff Research Scientist with profound expertise to drive the direction, vision, and architectural standards for enterprise-scale AI/ML initiatives. As a self-directed technical leader within GEICO’s AI Research team, you will architect and deliver innovative AI/ML solutions that span multiple business domains, define the future of insurance operations, and accelerate transformation across the company. You will set technical strategy, mentor scientists and engineers at all levels, and partner closely with senior leadership to align AI investments with measurable business outcomes.
Key Responsibilities:
Drive the Direction and Vision of AI/ML Initiatives: Define and own the technical strategy and long-term roadmap for cross-functional AI/ML programs, ensuring alignment with organizational goals and scalable, robust, and compliant delivery.
Identify High-Impact Opportunities: Surface and shape high-value AI use cases through deep engagement with product, engineering, data, and business leaders; translate ambiguous needs into actionable ML problem statements and investment cases.
Architecture and Technical Leadership: Architect end-to-end AI/ML systems spanning data acquisition, feature engineering, model development, evaluation, deployment, and monitoring across online and batch environments. Establish standards for scalability, reliability, observability, security, compliance, and cost efficiency.
Development and Productionization: Lead the full lifecycle of model development from concept to production, including rapid prototyping, A/B testing, causal inference, and continuous improvement with clear delivery plans and milestones.
ROI Measurement and Experimentation: Establish rigorous KPI frameworks, experimentation strategies, and causal analysis to quantify business impact, prioritize investments, and guide decision-making for portfolio-level initiatives.
Innovation and Research Integration: Stay current with cutting-edge ML/AI research. Prototype and translate novel techniques into hardened, scalable solutions within GEICO’s insurance ecosystem.
Cross-Functional Collaboration: Drive collaboration across Product, Engineering, Data Platform, Governance, Legal, Security, and Operations to ensure responsible, reliable, and effective AI adoption.
Mentorship and Capability Building: Mentor research scientists and engineers, elevate technical standards, and cultivate a culture of scientific rigor, engineering excellence, and continuous learning.
Presentations and Executive Engagement: Communicate complex technical concepts clearly to diverse audiences. Present to senior leadership, setting context, explaining trade-offs, and building alignment and enthusiasm for AI/ML initiatives.
Evangelism and Thought Leadership: Champion the transformative role of AI/ML across GEICO by speaking at internal forums, contributing to leadership discussions, and setting high standards that influence practices beyond your immediate team.
Strategic and Cultural Leadership: Contribute to the overarching strategy, roadmap, and operating model for AI/ML at GEICO. Foster a culture of craftsmanship, innovation, accountability, and excellence.
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