Geico

Senior Applied Research Scientist

Geico$115K — $230K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or related field, or equivalent experience.
  • 3+ years of experience with AI/ML models in production.
  • Strong proficiency in Python, data processing, SQL, and AI/ML frameworks like PyTorch and Scikit-learn.
  • Experience designing online experiments and performing causal analyses.
  • Proven track record leading end-to-end AI/ML initiatives and collaborating across functional teams.

Responsibilities

  • Lead the design and delivery of ML and GenAI solutions for complex, cross-functional problems.
  • Partner with product and engineering teams to develop actionable technical roadmaps.
  • Design and implement online experiments to inform decision-making with business KPIs.
  • Mentor junior scientists and engineers, ensuring high standards for scientific practices.
  • Communicate findings and technical decisions to diverse stakeholders to facilitate understanding and action.

Benefits

  • Comprehensive health insurance options.
  • 401(k) retirement plan with company match.
  • Professional development and growth opportunities.
  • Flexible working environment with potential for remote work.
  • Work alongside a dynamic team focused on innovation in AI.
Full Job Description
Job Title: Senior Research Scientist

We are seeking a highly skilled Senior Research Scientist with a strong technical background and proven expertise in machine learning and artificial intelligence. As the AI Research team at GEICO continues to grow, you will serve as a tech lead driving end-to-end AI initiatives-from problem framing and experimentation to production deployment and adoption. You will set technical direction, architect scalable solutions, and mentor juniors while partnering closely with product, engineering, and domain experts to deliver measurable business impact.

Key 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.


Key Competencies:

  • 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.


Minimum 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.


Work Locations: Candidates must be open to the following locations:

  • Chevy Chase, Maryland


  • Palo Alto, CA


  • New York City, NY


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.

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

About Geico

GEICO (Government Employees Insurance Company) is an American auto insurance company with headquarters in Chevy Chase, Maryland. It is the second largest auto insurer in the United States, after State Farm. GEICO is a wholly owned subsidiary of Berkshire Hathaway that provides coverage for more than 24 million motor vehicles owned by more than 15 million policy holders as of 2017. GEICO writes private passenger automobile insurance in all 50 U.S. states and the District of Columbia. The insurance agency sells policies through local agents, called GEICO Field Representatives, and over the phone directly to the consumer, and through their website.
Learn more about Geico
Size
40,000 employees
Industry
Founded
1936

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