Director I, Data Science : Data Science Tools team

The Data Science Infrastructure organization within USRM is hiring a Data Scientist (Assistant Director or Director I) 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.

**This position may have in-office requirements dependent upon candidate location**

**Level of position offered will be based on skills and experience at manager discretion**

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