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Sr Research Scientist

Job in New York, New York County, New York, 10261, USA
Listing for: GEICO
Full Time position
Listed on 2026-01-04
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Sr Staff Research Scientist
Location: New York

Join to apply for the Sr Staff Research Scientist role at GEICO
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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.

Base

Pay Range

$/yr - $/yr

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 ter a culture of craftsmanship, innovation, accountability, and excellence.
Qualifications
  • PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience with an exceptional track record of innovation and impact.
  • Minimum of 8 years of professional experience delivering applied AI/ML solutions in production, with a proven record of leading end‑to‑end model development and cross‑functional initiatives with enterprise impact.
  • Deep theoretical and practical expertise in statistical learning, machine learning, deep learning, and large language models; ability to reason from first principles and select appropriate methods under real‑world constraints.
  • Demonstrated experience establishing KPI frameworks, experimentation strategies, and causal analysis to quantify model impact and inform prioritization.
  • Proven ability to mentor and lead senior research scientists and engineers; establish and enforce high…
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