Director I, Data Science - Liberty Mutual

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 legal industry is filled with opportunity. The Global Legal & Compliance department at Liberty Mutual needs your help to meet these opportunities by applying data science tools including deep learning and generative AI to legal problems such as document analysis, billing audit, and outcome simulations.

We are looking for a talented, senior data scientist to join our team building AI and decision support tools that help the Legal Department work more efficiently and deliver better outcomes to our clients and policyholders on legal related issues.

In this role, you will collaborate closely with a team of data scientists, legal professionals, analysts, and IT developers. You will offer technical oversight, project leadership, and enhance the team’s processes and capabilities. You and the team will work with clients across the company to develop a strong understanding of business needs. You will research and apply NLP, machine learning, generative AI, and statistical algorithms to projects aimed at reducing legal costs and enabling advanced capabilities for legal professionals at Liberty Mutual.

Example projects include using deep learning-based NLP models to classify millions of text-based legal records, building machine learning models to predict the outcome of a case, and using generative AI to summarize and extract key information from lengthy documents to inform decision-making.

Responsibilities:

• Guides aspects of project design as a technical consultant for the team, coaches team members in developing solutions, and provides oversight on the deliverables of others.
• Applies broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
• Develop predictive and explanatory AI solutions that help improve legal decision making using deep learning, machine learning, NLP (Natural Language Processing), and generative AI techniques
• Identifies new strategic opportunities for use of theoretical methods and tools.
• Applies forward looking thinking to inform methodological advancement.
• Drives innovation in the application and development of tools and practices.
• Mines large data sets using sophisticated analytical techniques to generate insights and inform business decisions.
• Identifies and tests hypotheses, ensuring statistical significance, and builds predictive models for business application.
• Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Enables the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
• Responsible for larger components of highly complex projects.
• Customizes analytic solutions to specific client needs.
• Regularly engages with the data science community and leads cross functional working groups.

• 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.
• Demonstrated proficiency in Python
• Experience with software management tools (such as Git)
• 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.
• Value-driven perspective with regard to understanding of work context and impact.
• Ability to effectively self-manage longer-term efforts by establishing and adhering project milestones and deadlines
• 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.

• Preferred Qualifications:
• Understanding of MLOps principles to aid in development and deployment of efficient, robust, and repeatable work products
• Experience applying machine learning, deep learning, and/or NLP techniques, especially using PyTorch, Hugging Face, and sci-kit-learn on large, unstructured data
• Experience developing and implementing generative AI solutions
• Experience working with insurance, claims, or legal data

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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