What are the responsibilities and job description for the Director, Data Science position at Liberty Mutual Insurance Group?
Design Excellence and on-demand support Support Earnix design teams by promoting consistent implementation of rating programs across Lines of Business and product lines to ensure alignment and uniformity. Offer expert support for complex and sophisticated rating design challenges. Provide additional capacity to support high-priority initiatives such as migrations, builds, and ad-hoc requirements across teams. Collaborate with Earnix Design teams to establish best practices for rating program designs, driving continuous improvement in quality and efficiency. Work across design teams to support awareness and adoption of new tools & processes. Develop training materials and deliver workshops to upskill teams on Earnix functionalities, best practices, and emerging tools. Assist Earnix users in developing effective visualizations within the Earnix analytical environment to improve decision-making and communication. 2 years of proven experience creating rating logic and implementing rating programs in tools like Earnix, Radar Live or IBM Modeler Strong understanding of rating algorithm structures, including their components, inputs, and outputs. Strong knowledge of predictive analytic techniques and statistical diagnostics of models. Strong knowledge of data science tools, with proficiency in Python for data science applications Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with relevant audience and stakeholders Demonstrated skill in persuading and influencing diverse stakeholders to gain buy-in and foster collaboration Ability to establish and build relationships within the organization. Ability to give effective training and presentations to management and other groups. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience. Insurance or financial services industry experience preferred.
