Director, Data Science: Specialty Product Design and Modeling Team
About the role
This is a Director level position is a senior individual contributor role reporting to the Specialty Senior Director with two core components: Frontier Program Representation and Research.
Responsibilities
- Own Specialty's voice on Frontier — ensure our requirements are heard, documented, and built correctly across a multi-year transformation
- Be the expert on all Specialty rating programs: coverages, rating structures, data definitions, and pipelines
- Connect the dots across Product, Technology, Delivery, and Actuarial teams — keep work moving and surface problems early
- Research emerging modeling techniques, test new variables, and identify data sources that sharpen our competitive edge
- Flex across the Specialty team to support high-priority modeling and analytical work
- Tell the story — communicate complex technical work clearly to senior leaders and cross-functional partners
Qualifications
- Broad knowledge of predictive analytic techniques and statistical diagnostics of models
- Advanced knowledge of predictive toolset; reflects as expert resource for tool development
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely
- Ability to establish and build relationships within and outside the organization
- Ability to give effective training and presentations to management and other groups
- Ability to use results of analysis to persuade team, department management or senior management to a particular course of action
- Broad knowledge of business drivers and market context
- Has a value driven perspective with regard to understanding of work context and impact
Preferred Qualifications
- Education & Experience: Advanced degree in Statistics, Mathematics, Data Science, or a related quantitative field preferred; Bachelor's degree with substantial relevant experience considered
- 6–8 years of relevant insurance experience preferred
Skills
- Deep knowledge of predictive analytic techniques and statistical model diagnostics
- Proficiency in predictive modeling tools (e.g., Python, SAS, Emblem, Excel)
- Strong understanding of data sources, rating systems, and Specialty Lines business context (lines, systems, pricing plans)
Benefits
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.
About Us: Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices: California, Los Angeles, Incorporated, Los Angeles Unincorporated, Philadelphia, San Francisco.