Senior Analyst, Data Science, Capacity Modeling and Optimization

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.

The USDS Claims and Service Data Science (CSDS) team is seeking a talented individual to join our Capacity Modeling and Optimization team. If you are enthusiastic about utilizing your data science expertise to enhance staffing strategies and optimize operational efficiency, this role presents an excellent opportunity for you. In this role, you will help build and implement advanced staffing optimization models, forecasting, and predictive models that leverage best-in-class data science tools and techniques. This position offers an exciting opportunity to blend analytical expertise with practical business insights to shape the future of our claims operations.

As a Data Scientist, you will work closely with a high-performing team of data scientists and claims professionals, utilizing your analytical skills, project management abilities, and intellectual curiosity to drive impactful results. You will have the opportunity to influence the entire modeling process, from initial analysis to model deployment and ongoing evaluation.

Successful candidates will possess a solid understanding of business objectives, hands-on experience with data analysis, and foundational knowledge of predictive modeling techniques. Strong communication and interpersonal skills are crucial, as you will work collaboratively with team members and internal partners to implement, monitor, and enhance our models. This role will play a vital part in optimizing staffing capabilities and improving the overall efficiency of the organization’s claims operations.

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

Responsibilities:

• Apply data science techniques to manipulate large structured and unstructured datasets, generating insights that inform business decisions.
• Identify and test hypotheses as part of building predictive models for staffing and forecasting applications, ensuring statistical significance.
• Translate quantitative analyses into accessible visuals for non-technical audiences, providing clear interpretations of data findings.
• Support the business in making informed trade-offs by providing insights into likely outcomes of different staffing scenarios.
• Customize analytic solutions to address specific client needs and operational challenges.
• Demonstrate coding proficiency in Python, with a strong grasp of data science libraries and frameworks.
• Utilize an understanding of optimization algorithms and their application in business contexts, and engage in building predictive models using contemporary machine learning (ML) and large language model (LLM) architectures as needed.
• Exhibit strong communication skills to effectively convey project proposals and outcomes to non-technical stakeholders.
• Engage actively with the Data Science community and leverage knowledge of MLOps standards, exploratory data analysis (EDA), and data visualization.
• Query databases using SQL to support data-driven decision-making.

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.

At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow.

We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage.

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

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