Director, Data Science, Personal Lines Auto Modeling

Pay Philosophy The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. Description The US Data Science (USDS) Personal Auto Modeling group is looking for talent to help drive pricing segmentation for Liberty's lead line. We are expanding our team to increase sophistication and enable complex state solutions, with several openings for individual contributors to help build and implement our Usage Based Insurance (Telematics) and Core Auto Pricing models. This is a great opportunity to combine business acumen with predictive modeling expertise to influence every aspect of the product development process, from product design to model build and deployment.This is a joint posting for multiple openings across both our Core Auto Pricing and Usage Based Insurance (Telematics) teams. Our US Retail Markets (USRM) Data Science Personal Lines Auto Modeling group is seeking talented individual contributors to develop pricing models, lead research projects, facilitate implementation, and drive technical decision-making for our production Usage Based Insurance (Telematics) and Core Auto Pricing models. Leverage your business acumen, project execution skills, intellectual curiosity, and technical proficiency through both collaborative and independent projects. Analysts will have the opportunity to drive and influence every aspect of the product development process, from product design to model build and deployment.Successful candidates will have a p