USRM Distribution & Marketing Data Science is hiring a Senior Director I, Data Science to lead our Independent Agency Data Science team. This role will span two critical areas of work. First, it will oversee the expansion, improvement, and maintenance of our mature Quote Efficiency portfolio. This suite of models helps make Liberty Mutual a brand that independent agents love to sell, by making us appear accurately and attractively in comparative raters and making our proprietary quoting and binding systems easy to use while manifesting our underwriting appetite in specific, actionable ways. Second, this role will direct emerging opportunities for IA Data Science, including models to make our Small Commercial products easier for agents to sell, models that help our Territory Managers use their time optimally, and models that influence the behavior of roughly 100,000 individual producers across our appointed independent agencies.

**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.**

Responsibilities include:

• Collaborating with analytics, technology, experience, strategy, and marketing teams focused on the independent agency channel, to help us be the best insurer for independent agents in the industry.
•  Leading a team of 7-10 data scientists working on both ML and AI problems: training models, orchestrating agents, packaging code for deployment, and evaluating and monitoring our AI/ML products’ performance.
• Leading and developing your team by setting clear goals and expectations, motivating and inspiring high performance, leveraging a diversity of perspectives, and supporting the people on your team as they grow and develop.

Preferred skills and experiences:

• Deep knowledge of the data science lifecycle, from identifying and framing business opportunities, through training and deploying models, to evaluating and continually monitoring in-market performance.
• Experience collaborating with stakeholders who are not data scientists themselves, in complex business environments, to understand which problems need solving, design solutions, and bring them to market.
•  Prior experience leading people.

Additional skills and experiences that are nice to have:

• Hands-on data science and/or ML engineering technical skills.
• Knowledge of the independent agency distribution channel.

• Deep knowledge of predictive analytic techniques and statistical diagnostics of models.
• Expert knowledge of predictive toolset, to include highly technical tools.
• Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent.
• Exchanges ideas and conveys complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts up to and including SBU/Corp Dept leadership.
• Exceptional interpersonal and communication skills required to establish and build effective relationships within and outside the aligned functional area and client group.
• Ability to give effective training and presentations to all levels of the organization.
• Interacts with senior executives.
• Demonstrated ability to anticipate areas of senior management concern, integrate different perspectives, and respond accordingly.
• Deep knowledge of business drivers and market context.
• Deep understanding of insurance operations and the procedures of Financial, Underwriting, Claims, Statistical, Information Technology, Legal and Sales departments.
• Utilizes significant business experience and judgment to direct work of unit and communicate results.
• 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 8 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and 10 years of relevant experience.
• Insurance or financial services industry experience preferred.