Director, Data Science

2 days ago

Plano, United States Liberty Mutual Full time $116,700 - $246,900

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 US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured data—data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team’s success now and into the future.

Are you passionate about pricing in the Insurance Industry? Would you like to join a dedicated team responsible for deploying pricing programs across all our retail lines nationwide? This is then your next job

The US Data Science Pricing Deployments team is looking for an Assistant Director or Director, Data Science to lead the design and build of major pricing and underwriting programs in Earnix. This role will drive best practices within Earnix, while coordinating with modeling, data and technology teams to drive successful Earnix transformations, ultimately increasing speed to market and deploying more sophisticated models across LOBs.

Responsibilities:

  • Lead a working team to build pricing and underwriting programs in Earnix for all lines.
  • Create and maintain rigorous data models for Earnix analytical projects and API.
  • Facilitate design of Rate Order Calculations in Earnix and integration with upstream services to fully enable capabilities of Earnix.
  • Ensure accuracy of all pricing and non-pricing outputs from Earnix.
  • Coordinate planning and execution with Tech and Data Solutions teams with understanding of high-level rating architecture.
  • Design and implement other use cases of Earnix as a rating engine.
  • As required, troubleshoot and support post launch queries and issues.
  • Applies broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
  • Applies forward looking thinking to inform methodological advancement.
  • Drives innovation in the application and development of tools and practices.
  • Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
  • Regularly engages with the data science community and leads cross-functional working groups.

The ideal candidate will have:

  • 2+ years of proven experience creating rating logic and implementing rating programs in tools like Earnix, Radar Live or IBM Modeler.

Qualifications

  • Strong understanding of rating algorithm structures, including their components, inputs, and outputs, is highly preferred.
  • Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
  • Advanced knowledge of predictive toolset; reflects as expert resource for automation script development, python skills a plus.
  • Earnix or similar rating tools knowledge is a plus.
  • 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.
  • Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.

About Us

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.

  • California
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  • Philadelphia

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