Director, Data Science: Data Science Tools

About the Role

The Data Science Infrastructure organization within USRM is hiring a Senior Technical Professional, Data Scientist, to join the Data Science Tools team. This role is focused on enhancing the end-to-end modeling workflow for USRM Data Science by developing internal tools, pipelines, and applications. These systems will streamline model development, evaluation, deployment, and iteration. The ideal candidate is highly technical, proactive, and motivated by building systems that improve the efficiency of other data scientists.

Location: This role is remote with occasional travel. Candidates residing within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule.

Responsibilities

• Design and build internal tools, pipelines, and applications to improve model development, evaluation, and deployment.
• Own the strategy and roadmaps for enhancing data science workflows and tooling across USRM.
• Design, build, and maintain Python packages utilized across the organization.
• Evaluate and implement AI agent capabilities within tooling using frameworks such as MCP, RAG, PydanticAI, LangChain, or related technologies.
• 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 groups like Enterprise Data & Data Science.
• Stay current with advancements 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.

The Ideal Candidate Will Have:

• 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 using 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 daily development and integrated AI capabilities into tools and applications to create value for data scientists.

Qualifications

• 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 deliver effective training and presentations to management and other groups.
• Ability to use analytical results to persuade teams or management toward a course of action.
• Broad knowledge of business drivers and market context.
• A value-driven perspective regarding work context and impact.
• Competencies typically acquired through:
• A Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science, or other scientific field) and a minimum of 3 years of relevant experience.
• A Master's degree (scientific field) and a minimum of 6 years of relevant experience.
• A Bachelor's degree (scientific field) and a minimum of 8 years of relevant experience.

About Us (Liberty Mutual)

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 culture is built on inclusion, comprehensive benefits, workplace flexibility, and professional development. We believe in putting people first and supporting your life and well-being. Learn more about our benefits at Liberty Mutual Benefits.

Liberty Mutual is an equal opportunity employer. We prohibit discrimination based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information, or any other basis protected by law.

Fair Chance Notices: Applicable notices provided for California, Los Angeles, Philadelphia, and San Francisco.