Director I, Data Science

Boston, MA, United States

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Pay Philosophy

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.

Description

As a Scientific Director within the Enterprise Data & Data Science (ED&DS) team, you will collaborate with a group of data science (DS) and machine learning engineering (MLE) experts to address Liberty's most complex data science challenges across the organization.

 

The ED&DS Science team was established to offer centralized support and expertise to data science teams across our global organization. Our projects target key areas that are of interest to multiple teams, aiming to uncover enterprise capabilities. These areas include cutting-edge research and experimentation in applying generative AI and other advanced technologies, the development of common tools and platforms, leadership of inner-source DS tooling, setting standards for delivering and measuring the quality of data science work, and spearheading the experimentation and adoption of new tools and techniques. We work on some of the most exciting projects throughout Liberty. If you're a data scientist with a leadership mindset, eager to make an impact through collaboration, someone who constantly asks, "How can we improve?" and wants to influence the culture of a Fortune 100 company, then ED&DS is the ideal place for you!

 

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

  • Establish criteria and identify/build tools to evaluate the quality of content produced by GenAI across various enterprise use cases.
  • Create prototype and MVP solutions to leverage Generative and other AI techniques to empower multiple teams and to push the edge of the possible.
  • Partner with technology and data science teams to identify, document, and advocate for cutting-edge data science capabilities, best practices, and tools at LMG, with a particular emphasis on advancements in the GenAI field.
  • Partner with technology teams to streamline, automate, and accelerate DS jobs-to-be-done across the enterprise, and refine our technical vision and strategy across our Data Science platforms
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    Responsibilities:

    • Act as DS SME and be responsible for setting the various levels of scientific strategies for many of our initiatives.
    • Create prototypes and MVP solutions to leverage Generative and other AI techniques to empower multiple teams and to push the edge of the possible.
    • Identify tools and best practices for key elements of DS lifecycle, both traditional DS and GenAI, possible directions
    • Working cross-org (and cross-functionally) to implement and scale solutions with focus on execution through others.
    • Work with product owners, scientists and engineers of varying levels of expertise, and influence solutions across the Enterprise

    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.
    • GEN AI and ML expertise strongly preferred.

    About Us

    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/BenefitsLiberty 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.Fair Chance Notices

    • California
    • Los Angeles Incorporated
    • Los Angeles Unincorporated
    • Philadelphia
    • San Francisco
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    * Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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    Tags: Economics Engineering Generative AI Machine Learning Mathematics MVP Research Statistics

    Perks/benefits: Career development Competitive pay Salary bonus

    Region: North America
    Country: United States

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