Director, Data Science: Data Science Tools

Director, Data Science: Data Science Tools

Liberty Mutual is seeking a highly technical and proactive Director, Data Science to join the Data Science Tools team within the Data Science Infrastructure organization. This role is focused on enhancing the end-to-end modeling workflow for USRM Data Science by developing internal tools, pipelines, and applications that streamline model development, evaluation, deployment, and iteration. If you are motivated by building systems that empower data scientists to work more efficiently, this remote opportunity is for you.

Note: Candidates residing within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid work schedule, requiring two days per week in the office. All other candidates will work remotely with occasional travel.

Key Responsibilities

• Design and build internal tools, pipelines, and applications to improve model development, evaluation, and deployment.
• Own the strategy and roadmaps for advancing data science workflows and tooling across USRM.
• Design, build, and maintain Python packages for organizational use.
• Evaluate and implement AI agent capabilities within tooling, utilizing approaches such as MCP, RAG, PydanticAI, LangChain, or related frameworks.
• Work with workflow and modeling tools including Luigi, Airflow, Celery, MLflow, H2O, scikit-learn, Optuna, and LightGBM.
• Utilize Python development tools such as Pydantic, FastAPI, uv, ruff, and pytest.
• Promote MLOps and AI agent best practices in collaboration with teams like Enterprise Data & Data Science.
• Stay current with developments in open-source data science frameworks, MLOps, and agentic coding practices.
• Contribute to shaping the direction of the Tools team and foster a culture of ownership, collaboration, and continuous improvement.

Requirements

• Professional experience building and maintaining Python-based data science or Machine Learning tooling used by multiple end-users or teams.
• Experience with Git, Bash/shell scripting, uv, pre-commit, ruff, pytest, or Pydantic in a professional setting.
• Experience building, deploying, or maintaining workflows or pipelines using Airflow, Luigi, Celery, Databricks, or MLflow.
• Experience implementing or supporting AI/LLM-based tooling with frameworks such as PydanticAI, LangChain, MCP, or RAG.
• Experience developing, reviewing, or maintaining internal Python packages, APIs, or data science applications using tools like FastAPI, Streamlit, Dash, NiceGUI, or Plotly.
• Applied agentic AI techniques in day-to-day development and incorporated AI capabilities directly into tools and applications.
• Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
• Advanced knowledge of predictive toolsets, serving as an 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 provide effective training and presentations to management and other groups.
• Ability to use analytical results to persuade teams and management towards a course of action.
• Broad knowledge of business drivers and market context.
• A value-driven perspective regarding work context and impact.
• Ph.D. in Statistics, Mathematics, Economics, Actuarial Science, or a related scientific field, with a minimum of 3 years of relevant experience; OR a Master's degree in a scientific field, with a minimum of 6 years of relevant experience; OR a Bachelor's degree in a scientific field, with a minimum of 8 years of relevant experience.

What We Offer

Liberty Mutual is committed to creating a workplace where everyone feels valued, supported, and can thrive. We foster an inclusive environment that welcomes diverse perspectives and experiences. Our commitment to inclusion is embedded in every aspect of our culture and reflected in our daily interactions. We offer comprehensive benefits, workplace flexibility, professional development opportunities, and resources through our Employee Resource Groups. We value your hard work, integrity, and commitment, and we prioritize our employees by offering benefits that support your life and well-being.

Learn more about our benefit offerings: https://LMI.co/Benefits