Analyst II, Data Science

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At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. Thats why we provide an environment focused on openness, inclusion, trust and respect. Here, youll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession. 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, please visit 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 IDGs Insider Pro and Computerworlds 2020 list. We have been named by Forbes as one of Americas Best Employers for Women and one of Americas Best Employers for New Graduatesas well as one of Americas Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: 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, veterans status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Analyst II, Data Science The legal world is in the midst of a Data Science and AI revolution. The Liberty Mutual Legal department is at the forefront of the legal transformation applying advanced data science tools including deep learning and NLP to legal problems such as contract analysis, billing audit and policy coverage analysis. We are looking for a talented data scientist to join our team building AI and decision support tools that help our clients and policyholders obtain better outcomes on legal related issues. In this role, you will collaborate closely with a team of data scientists, analysts, and IT developers. You and the team will work with clients across the company to develop strong understanding of business needs. You will research and apply machine learning and statistical algorithms to projects aimed at revealing the drivers of legal cost and related outcomes. Example projects include using deep learning based NLP models to classify millions of text-based legal records, machine learning models to predict the outcome of a case, and using Bayesian hierarchical models to estimate causal effect of legal decisions. Responsibilities - Develop predictive and explanatory models that help improve legal decision making using deep learning and other NLP (Natural Language Processing) techniques - Perform all data preparation and exploratory data analysis steps - Guide implementation, testing, and evaluation of models - Work with clients to develop strong understanding of business needs and use business understanding to help design effective analytical solutions - Manage and execute all aspects of analytic initiatives, including developing project plans and collaborating with others - Present methodology and results of analysis to a broad range of audiences, including both technical and non-technical, at all levels of the organization - Collaborate closely with other members of the Legal Analytics and Data Science team and the Liberty Mutual Data Science community Qualifications - Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) with 0-1 years professional experience, a Masters degree and 2-3 years of relevant experience or may be acquired through a Bachelors degree and 4+ years of relevant experience. - Significant professional experience required applying quantitative analysis and modeling to solving real-world business problems including experience in model validation, testing and deployment - Adept at framing business questions and practices in analytic terms, and translating business requirements into corresponding datasets, analyses, models, and reports - Demonstrated proficiency in R or Python required - Experience applying Deep Learning and/or NLP techniques (especially using Tensorflow or PyTorch) on large unstructured data highly preferred - Demonstrated communication skills to exchange ideas and convey complex information clearly and concisely - Model deployment and project management experience preferred
  • 1
  • Negotiable
  • None
  • None
  • Re-105662
  • Permanent
  • 10

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