Director, Data Science: Data Science Tools

Responsibilities

• Design and build internal tools, pipelines, and applications that improve model development, evaluation, and deployment
• Own strategy and roadmaps for improving data science workflows and tooling across USRM
• Design, build, and maintain Python packages used across the organization
• Evaluate and implement AI agent capabilities in tooling using approaches such as MCP, RAG, PydanticAI, LangChain, or related frameworks
• Work with workflow and modeling tools such as Luigi, Airflow, Celery, MLflow, H2O, scikit-learn, Optuna, and LightGBM, as well as Python development tools such as Pydantic, FastAPI, uv, ruff, and pytest
• Promote MLOps and AI agent best practices in collaboration with groups such as Enterprise Data & Data Science
• Stay current on developments in open-source data science frameworks, MLOps, and agentic coding practices
• Help shape the direction of the Tools team and contribute to a culture of ownership, collaboration, and continuous improvement

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