Director, Data Science: Data Science Tools team

Liberty Mutual Insurance•Boston, MA

21h•Hybrid

About The Position

The Data Science Infrastructure organization within USRM is hiring a Data Scientist for its Data Science Tools team. The Data Scientist role will sit within the Data Science Tools team of Infrastructure and be tasked with reengineering the way USRM Data Science approaches the entire modeling pipeline. Their primary goal will be to architect and construct modeling tools and pipelines to massively enhance the ease of iteration, evaluation, and deployment of models and thereby enhance the productivity of the entire USRM Data Science department by orders of magnitude. The objective of this role is to build tools and processes to empower other people. The ideal candidate is proactive, highly technical, and most importantly, driven by a desire to help others and push the boundaries of what we think is possible. Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. This positions sits within Insights & Solutions group. The creative problem-solvers in Liberty Mutual’s Insights & Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you’ll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working. The Insights & Solutions team provides critical analysis through five functional groups within US Retail Markets: Distribution, Marketing & Experience Insights & Solutions, Data Office, Claims & Service, Insights & Solutions, Knowledge & Development Solutions, Data Science. The US Retail Markets (USRM) Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured data—data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team’s success now and into the future.

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.

Responsibilities

Design and implement modeling tools, pipelines, and applications to massively enhance the ease of iteration, evaluation, and deployment of models
Develop and have ownership over strategies and roadmaps for how to push USRM Data Science expert teams to achieve dramatically improved processes
Lead the building and maintenance of Python packages for use across the organization, including designing architecture, guiding coding agents, and reviewing code
Implement AI Agents into Tools via MCP, RAG or other methods/frameworks (e.g., PydanticAI, LangChain Deep Agents)
Utilize pipelining tools such as Luigi, Airflow, celery etc, modeling packages such as MLflow, h2o, sklearn, optuna, LightGBM etc, and python tools such as Pydantic, fastAPI, uv, ruff, pytest etc.
Follow and promote MLOps and AI Agent best practices across the organization, collaborating with groups like Enterprise Data & Data Science
Keep up to date with the state-of-the-art developments in Data Science open-source frameworks, MLOps, and agentic coding practices
Shape the direction of the Tools team and build a cohesive team culture of ownership, and shared growth