Director I, Data Science, Enterprise Data & Data Science at Liberty Mutual | chakrie

Requirements

Additional Requirements

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

Responsibilities

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Skills & expertise

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

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Salary & benefits

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

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Director I, Data Science, Enterprise Data & Data Science

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Additional Requirements

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Additional Requirements

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