Director, Data Science

The creative problem solvers in Liberty Mutual’s Insights & Solutions group harness the power of data, analytics and technology to create innovative solutions that advance our business, make an impact on our industry and promote individual careers. Insights & Solutions’ cross-functional team interacts with every area of our enterprise, challenging the status quo and helping people embrace today and confidently pursue tomorrow.

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.

Distribution and Marketing Data Science (DMDS) develops predictive analytics tools and provides data-driven insights that inform strategic decision making, with solutions ranging from optimizing marketing tactics to quote personalization. By leveraging AI, machine learning and other advanced analytics techniques, DMDS increases efficiency and drives profitability across Liberty Mutual. Join the creative problem solvers of our Insights & Solutions group who are harnessing the power of data, analytics and technology to innovate today and transform tomorrow.

Level of position offered will be based on skills and experience at manager discretion.**

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

The US Retail Markets Data Science team is looking for an experienced and self-motivated Data Scientist to join our Direct Distribution Data Science team. As a Director I, you will play a pivotal role in the design, development, and implementation of Machine Learning driven solutions to support the Direct distribution channel. This is a highly technical position where you will work as part of cross-functional teams across distribution, marketing, customer experience, and technology. You will have the opportunity to experience the entire data science lifecycle as you will collaborate with ML Engineers to deliver projects to production.

A successful candidate will:

• Have expertise with Python, version control (Git), and building a wide range of models, GBM, Uplift, NN.
• Have the ability to collaborate with non-technical stakeholders, engineers, and fellow data scientists to bring complex ideas to market.
• Have the desire to create and drive constant improvement.

• 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.
• 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.