Director, Data Science

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 creative problem solvers in Liberty Mutual’s Insights & Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you’ll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working.

 

The Data Science Excellence team within US Retail Markets Data Science is hiring a Director, Data Science.  Underwriting models are a high profile and exciting area where we are able to apply creative problem-solving skills to have a considerable impact on business results. This role will support the Underwriting and Fraud teams to ensure technical excellence in development and deployment of predictive models to ensure integrity of our portfolio and deliver strong business results. 

 

This position will have an opportunity to work with highly talented professionals to develop solutions to complex problems, delivering predictive tools and insights, to include ongoing monitoring of metrics and initiatives.  Integral to the position is creative problem solving and a mindset of viewing everything as possible. The ideal candidate is someone who is resilient (undeterred in the face of failure), driven to make things better, holds themselves to a high standard and wants to be surrounded by others who do the same.

 

**This role may have in-office requirements based on candidate location.**

 

Responsibilities:

 

• Identifies new strategic opportunities for use of theoretical methods and tools.
• Guides aspects of project design as a technical consultant for the team, and provides model review.
• Applies forward looking thinking to inform methodological advancement.
• Drives innovation in the application and development of tools, practices, and predictive models.
• Mines large data sets using sophisticated analytical techniques to generate insights and inform business decisions.
• Builds sophisticated predictive models for business application.
• Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Enables the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
• Active technical project lead (strategic).
• Shapes the data science community and leads cross functional working groups.

Qualifications

• Deep knowledge of predictive analytic techniques and statistical diagnostics of models
• Expert knowledge of predictive toolset
• 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, executives and other groups
• Ability to use results of analysis to persuade team, department management or senior management to a particular course of action
• Deep 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 a PhD degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and 5 years of relevant experience, a Master`s degree (scientific field of study) and 8 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and 12 years of relevant experience

About Us

As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally