Senior Data Scientist

JOB REQUIREMENTS: Milwaukee, Wisconsin, United States Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility -our people are energized problem solvers that take pride in how thework we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us! Job Description Job Description The Data Science & Innovation Organization is building the analytical engine that powers our AI product portfolio. As Senior Data Scientist, Agentic AI Products, you will own the data and modeling layer that our agentic systems depend on. This role sits directly alongside the Senior Agentic AI Engineer, who designs and deploys the reasoning, orchestration, and tool-use layers of our AI agents. Where that role builds the agent architecture, you build the empirical foundation. The empirical foundation consists of curated datasets, predictive models embedded as agent tools, statistical rigor for evaluation, and the feedback infrastructure that makes agents measurably better over time. Together, these two roles form the core of our applied AI capability. Primary Responsibilities: Dataset creation & curation Build high-quality labeled datasets from operational data sources including structured databases, event logs, sensor streams, and document repositories Define feature engineering strategies for time-series, event-based, and unstructured data Predictive model development Build, validate, and maintain predictive models (e.g. anomaly detection, classification, forecasting) that serve as callable tools within agentic AI systems Apply rigorous statistical methods: hypothesis testing, cross-validation, and confidence interval estimation to ensure model outputs are trustworthy when surfaced by an agent Agent data interfaces & RAG grounding Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products Build evaluation frameworks to measure retrieval quality and factual accuracy against domain specific ground-truth datasets Experimentation & statistical rigor Apply relevant causal inference techniques (e.g. synthetic controls, difference-in-difference) to isolate causal effects in operational... For full info follow application link. Rockwell Automation is an Equal Opportunity Employer Disability/Veteran. If you are an individual with a disability and you need assistance or reasonable accommodation during the application process, email our Talent Acquisition representative at [email protected]. ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/021CB7CDF9EF4049