Senior Applied Research Scientist

Why Join Us

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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States.

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.

Responsibilities

• Lead AI/ML Solution Design & Delivery: Lead the design and delivery of ML and GenAI solutions for complex, ambiguous, cross-functional problems. Define success metrics, validation plans, and pathways to production.
• Technical Roadmapping & Partnership: Partner with product, engineering, and domain experts to translate business needs into feasible technical roadmaps, de-risking assumptions and aligning milestones to outcomes.
• Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses; instrument and monitor business KPIs to quantify value and inform decision-making.
• Mentorship & Coaching: Mentor junior scientists and engineers, share best practices, and cultivate a high bar for scientific rigor, coding standards, and reproducibility.
• Communication & Stakeholder Management: Communicate approach, trade-offs, and results to technical and non-technical audiences; provide realistic estimates and influence decision-making across the organization.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
• 3+ years of experience developing, deploying, and operating AI/ML models in production.
• Strong proficiency in Python, data processing, and SQL, and in AI/ML frameworks such as PyTorch and Scikit-learn.
• Experience designing online experiments and conducting causal analyses; demonstrated ability to define, instrument, and monitor business KPIs.
• Proven experience leading end-to-end AI/ML initiatives and partnering cross-functionally with product and engineering.

Preferred Qualifications

• Experience with the design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs.
• Experience with GenAI quality management, including evaluators, red-teaming, guardrails, and human-in-the-loop systems.
• Familiarity with insurance operations and model governance in regulated environments.

Skills

• Technical Leadership: Proven ability to set technical direction and make authoritative decisions on modeling approaches, architecture, and trade-offs.
• Scientific Rigor: Strong experimental design, statistical reasoning, and causal inference skills with an emphasis on measurable business outcomes.
• Creativity & Problem Solving: Demonstrated ability to break down ambiguous problems and deliver pragmatic, scalable solutions.
• Communication & Influence: Clear, structured communication that bridges technical and business stakeholders.
• Mentorship: Track record of elevating teammates through code/design reviews and knowledge sharing.
• Strategic Thinking: Aligns day-to-day execution with long-term platform, data, and business strategy.
• Adaptability: Thrives in a fast-paced environment and adjusts to evolving priorities and constraints.

Work Locations

Candidates must be open to the following locations:

• Chevy Chase, Maryland
• Palo Alto, CA
• New York City, NY

Pay

Annual Salary: $115,000.00 - $230,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

Benefits

• Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
• Great Careers: Personalized development programs, mentorship, and certification assistance.
• Great Culture: Inclusive and collaborative culture rooted in shared success.
• Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.