Data Scientist

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 Insights & Solutions team provides critical analysis through five functional groups within US Retail Markets:
• Distribution, Marketing & Experience Insights & Solutions
• Data Office
• Claims & Service, Insights & Solutions
• Knowledge & Development Solutions
• Data Science

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.

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

The Data Science Infrastructure organization within USRM is hiring a Data Scientist Analyst for its Data Science Tools team. The Data Scientist role will sit within the Data Science Tools team of Infrastructure and be tasked with reengineering the way USRM Data Science approaches the entire modeling pipeline. Their primary goal will be to architect and construct modeling tools and pipelines to massively enhance the ease of iteration, evaluation, and deployment of models and thereby enhance the productivity of the entire USRM Data Science department by orders of magnitude. The objective of this role is to build tools and processes to empower other people. The ideal candidate is proactive, highly technical, and most importantly, driven by a desire to help others and push the boundaries of what we think is possible. 

Responsibilities:  

• Design and implement modeling tools and pipelines to massively enhance the ease of iteration, evaluation, and deployment of models 
• Develop strategies and roadmaps for how to push USRM Data Science expert teams to achieve dramatically improved processes 
• Build and maintain Python packages for use across the organization 
• Utilize pipelining tools such as Luigi, Airflow etc., modeling packages such as MLflow, h2o, sklearn, optuna, LightGBM etc, and Liberty Cloud offerings of Cortex and Runway 
• Follow Data Science and MLOps best practices in collaboration with Enterprise Data & Data Science 
• Keep up to date with the state-of-the-art developments in Data Science open-source frameworks and MLOps 

• 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 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master’s degree, a minimum of 4+ yrs. of experience with a bachelor’s degree.