Data Science Analyst

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.

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 looking for a position where you can work on a team that can impact multivariate models across USDS using third-party data? The USRM Data Science Excellence Complex Components team is seeking a talented individual to work in the exciting area of predictive modeling!

The successful analyst in this role will collaborate with business partners to develop analytical solutions that enable data-driven strategic decision-making. They will accomplish this by utilizing data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, develop models and perform cost benefit analyses to drive more optimal decision making for the org.

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

Responsibilities:

• Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions.
• Responsible for large, sophisticated components of highly complex projects.
• Enable the business to evaluate trade-offs between and among choices, with a reasonable view into likely outcomes.
• Drive innovation in the application and development of tools and practices.
• Identify and test hypotheses, ensuring statistical significance, and build predictive models for business application.
• Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Customize analytic solutions to specific client needs.
• Regularly engage with the data science community and lead cross functional working groups.

• Solid knowledge of predictive analytics techniques and statistical diagnostics of models.
• Advance knowledge of predictive toolset; expert resource for tool development.
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
• Has a value-driven perspective with regard to understanding of work context and impact.
• Competencies typically acquired through a Master’s degree (scientific field of study) and 0-1 years of relevant experience or a Bachelor’s degree (scientific field of study) and 3+ years of relevant experience.

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.

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