Senior Applied AI/ML Scientist & Strategy Leader

GEICO

Bethesda (AR)

On-site

USD 150,000 - 300,000

Full time

11 days ago
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Job summary

GEICO is seeking a Senior Staff Applied Research Scientist to lead enterprise AI/ML initiatives across multiple domains. You will set technical direction, mentor teams, and partner with senior leadership to align investments with measurable business outcomes.

The role requires deep expertise in ML/DL, KPI frameworks, and productionization of AI solutions. Location options include Bethesda, Palo Alto, New York City, and Seattle with a competitive salary and sponsorship potential.

Qualifications

  • BS in Computer Science, ML, Statistics, Mathematics or related field; PhD is preferred.
  • 8+ years delivering applied AI/ML solutions in production with leadership experience.
  • Strong grounding in statistical learning, ML, DL and large language models.
  • Proven KPI frameworks, experimentation, and causal analysis experience.
  • Experience mentoring senior researchers and engineers; high standards for code quality.

Responsibilities

  • Define the technical strategy and long-term roadmaps for cross-functional AI/ML programs.
  • Architect end-to-end AI/ML systems across data, model development, deployment and monitoring.
  • Lead model development lifecycle from concept to production with rapid prototyping and A/B testing.
  • Establish ROI metrics, experimentation strategies, and causal analyses to guide investments.
  • Mentor scientists and engineers and drive collaboration with product, governance and security.

Skills

Python
SQL
PyTorch
TensorFlow
Scikit-learn
Machine Learning
Leadership
Mentoring

Education

Bachelor's degree in Computer Science / ML / Statistics / Mathematics
PhD preferred

Tools

PyTorch
TensorFlow
Scikit-learn

Job description

GEICO is seeking a Senior Staff Applied Research Scientist to lead enterprise AI/ML initiatives across multiple domains. You will set technical direction, mentor teams, and partner with senior leadership to align investments with measurable business outcomes.

The role requires deep expertise in ML/DL, KPI frameworks, and productionization of AI solutions. Location options include Bethesda, Palo Alto, New York City, and Seattle with a competitive salary and sponsorship potential.

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