Description

Help shape the future of Data Science across Liberty!

As a scientific director in the Office of Data Science (ODS), you will work in a team of data science (DS) and machine learning (ML) experts to collaborate across the enterprise and solve Liberty’s most challenging data science problems.

The ODS was created to provide centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams: bleeding edge research and experimentation in machine learning, computer vision, and natural language processing; common tool and platform development; establishing the standards of how to deliver and measure the quality of DS work; and leading experimentation and adoption of new tools and techniques.  We work on some of the most exciting projects across all of Liberty.  If you are the kind of DS that likes to ask, ‘how can we do better’ – and impact the entire culture at a Fortune 100 company – the ODS is the place for you!

As a centralized group, our project scope is vast. Possible projects include:

1. Design and fine tune language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond
2. Detect property hazards from aerial imagery, damage from customer photos, find and read a number in a scanned document, etc., using computer vision (CV) 
3. Collaborate with technology partners to adopt, design, build, and/or integrate MLOps tools for the organization, ensuring they support broad DS needs, and help other DS groups adopt modern MLOps practices
4. Explore the advantages and limitations of privacy-preserving ML and synthetic data, to accelerate experimentation and better protect our customers’ data
5. Engage in theoretical research in collaboration with top tier academic institution (link) to shape the future of AI 

Responsibilities:

• Setting the scientific strategy for many of our initiatives
• Working cross-org (and cross-functionally) to implement and scale solutions from PoC to MVP and beyond, and explain and defend the strategies to business partners. 
• Applies broad knowledge of sophisticated Data Science techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.
• Drives innovation in the application and development of tools and practices.
• Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Responsible for larger components of highly complex projects.
• Guides aspects of project design as a technical expert for the team.
• Regularly engages with the data science community and leads cross functional working groups.

The actual internal level/grade for this role will depend on the candidate’s overall experience and skill level

Qualifications

• 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.
• NLP and CV experience preferred.

About Us

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That’s why we provide an environment focused on openness, inclusion, trust and respect. Here, you’ll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.

Liberty Mutual has proudly been recognized as a “Great Place to Work” by Great Place to Work® US for the past several years. We were also selected as one of the “100 Best Places to Work in IT” on IDG’s Insider Pro and Computerworld’s 2020 list. For many years running, we have been named by Forbes as one of America’s Best Employers for Women and one of America’s Best Employers for New Graduates—as well as one of America’s Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-equity-inclusion/

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.