Senior Data Science *Remote*

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.

We are seeking a highly skilled Senior Data Scientist with a strong technical background, a minimum of 4 years of experience, and proven expertise in machine learning and artificial intelligence. As a tech lead on the team, you will play a critical role in driving complex data science projects, architecting scalable data solutions, and mentoring junior team members. You will work to uncover patterns, answer key business questions, and guide the organization’s data science strategy. Additionally, you will serve as a primary point of contact for project ownership and delivery, collaborating with technical and non-technical stakeholders to ensure the success of data-driven initiatives. 

Essential Functions: 

Lead Data Science & Solution Design: Lead efforts to identify and define complex, ambiguous data analysis to uncover patterns and answer business questions. Independently formulate and assist in the design of solutions to stakeholder problems. 

Architect Scalable Solutions: Architect scalable, reliable, and efficient data solutions that align with the company’s data strategy and stakeholder requirements, ensuring that all solutions are future-proof and well-integrated. 

Project Ownership & Leadership: Serve as the subject matter expert, owner, and primary point of contact for assigned projects. Take full responsibility for the end-to-end delivery of ML/AI solutions, from model development to production deployment, and guide decision-making across the organization. 

Collaboration & Communication: Consult with technical leaders to establish and communicate realistic timelines and provide authoritative estimates of the level of effort required for each project. Lead discussions on recommended approaches and alternatives for solving modeling and analytical problems. 

Stakeholder Management: Effectively communicate project findings and model performance to both technical and non-technical audiences, making complex concepts accessible. Provide estimates of value associated with assigned projects and advocate for their impact across the organization. 

Mentorship & Coaching: Guide and mentor junior team members, anticipating challenges and providing proactive solutions. Coach team members on effective approaches, techniques, and methodologies to elevate their work and enhance team performance. 

Continuous Improvement: Remain up-to-date with the latest trends and developments in data science, machine learning, and AI, ensuring the team’s methods and solutions stay ahead of industry best practices. 

Key Competencies: 

• Technical Leadership: Proven ability to lead and drive technical discussions, making authoritative decisions on modeling approaches and solutions. 

• Creativity & Problem Solving: Strong ability to think creatively to solve complex business problems with innovative data-driven solutions. 

• Attention to Detail: Ensures precision and accuracy in the analysis and delivery of data science projects. 

• Adaptability: Ability to thrive in a fast-paced, evolving environment and adjust to changing business needs.