Senior Data Scientist

ROCKWELL AUTOMATION INC. • Milwaukee, WI • 2h ago

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
RAApplicationsupport@ra.rockwell.com. *** APPLICATION
INSTRUCTIONS: Apply Online: ipc.us/t/021CB7CDF9EF4049

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