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Liberty Mutual·USA·2 июля
Director I, Data Science, Enterprise Data & Data Science
🌍 УдалённоLeadПолная занятость🌐 Глобал
Вилки нет, про деньги придётся договариваться с нуля.
Чем предстоит заниматься
Design, build, and evaluate generative AI solutions and agentic systems
Develop and maintain data semantic layers and knowledge graphs for enterprise-scale data accessibility
Build evaluation frameworks and tools to assess GenAI systems' performance, reliability, and safety
Collaborate with other data scientists, machine learning engineers, data engineers, and business partners
Champion best practices and tooling across a broad data science community
Lead cross-functional working groups and contribute to innovation in AI/ML methods
Communicate complex technical findings clearly to non-technical stakeholders
Serve as a technical consultant on complex, high-impact projects
Please note this is an individual contributor role
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
Strong foundation in data science and machine learning
Proven MLOps expertise across the complete data science lifecycle
Experience building GenAI solutions and agentic systems
Familiarity with GenAI evaluation methodologies
Experience with data semantic layers and/or knowledge graphs
Track record of cross-functional collaboration in a large enterprise environment
Ability to work ET hours
California
Los Angeles Incorporated
Los Angeles Unincorporated
Philadelphia
San Francisco
Дополнительно
Description
We're seeking an exceptional, hands-on Data Scientist with deep expertise in data science, MLOps, and building GenAI solutions to join our Enterprise Data & Data Science team. In this role, you'll identify, evaluate, and develop solutions at the intersection of data science, generative AI, and enterprise data strategy—including GenAI evaluation frameworks and semantic data layers. You'll also serve as a community champion, driving the adoption of best practices across a large, collaborative data science organization
Технологии и навыки
Liberty Mutual
USA
ГрейдLead
ЗанятостьПолная занятость
РегионСША
ФорматУдалённо
ИсточникСкрыто
Опубликовано2 июля
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