Director, Data Science: Data Science Tools
Core
Building internal tools, pipelines, and applications to streamline the end-to-end modeling workflow for USRM Data Science teams.
Role type
Senior Technical Professional, Data Scientist (MLOps/Tooling focus)
Builds
Internal Python packages, data science tooling, and AI agent capabilities (MCP, RAG, PydanticAI, LangChain)
Domain
Insurance (USRM) / Data Science Infrastructure / MLOps
Deliverable
production ML models | infrastructure
Required skills
Python, Git, Bash/shell scripting, Airflow, Luigi, Celery, Databricks, MLflow, FastAPI, Streamlit, Dash, NiceGUI, Plotly, Pydantic, uv, ruff, pytest, predictive analytics, statistical diagnostics, agentic AI techniques
Preferred skills
Experience with open-source data science frameworks, MLOps best practices, agentic coding practices
Technologies
Python, Git, Bash, Airflow, Luigi, Celery, Databricks, MLflow, PydanticAI, LangChain, MCP, RAG, FastAPI, Streamlit, Dash, NiceGUI, Plotly, uv, ruff, pytest, scikit-learn, Optuna, LightGBM, H2O
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; Evaluate and implement AI agent capabilities in tooling using approaches such as MCP, RAG, PydanticAI, LangChain, or related frameworks; Stay current on developments in open-source data science frameworks, MLOps, and agentic coding practices
Seniority
Senior, hands-on IC
