Senior Data Scientist
Core
Build the empirical foundation (datasets, predictive models, evaluation frameworks) for agentic AI systems that power Rockwell Automation's AI product portfolio.
Role type
Senior IC data scientist (agentic AI)
Builds
Curated datasets, predictive models embedded as agent tools, and feedback infrastructure for agentic systems
Domain
Industrial automation + Applied AI (Agentic AI, RAG)
Deliverable
production ML models
Required skills
End-to-end predictive modeling, feature engineering, applied statistics (hypothesis testing, Bayesian methods), causal inference, Python, SQL, cloud data platforms
Preferred skills
Experience with conversational AI/agent systems, RAG data pipelines, time-series modeling, uncertainty quantification
Technologies
Python (pandas, scikit-learn, PyTorch), SQL, AWS/GCP/Azure
Responsibilities
Build high-quality labeled datasets from operational sources; develop and validate predictive models for agent tools; own data pipelines for RAG knowledge bases; design measurement frameworks for responsible AI; collaborate on ML problem statements and feature store standards
Seniority
Senior, hands-on IC
