Data Scientist - GenAI & Autonomous Manufacturing

The Data Science Team is a highly skilled group within the Global Factory IT organization, dedicated to designing, developing, and deploying advanced solutions across global factories. This team's commitment to excellence has earned them industry awards for their innovation, superior systems, and significant value delivery. We are seeking a Data Scientist to drive the implementation of GenAI and ML/DL across our manufacturing operations. In this role, you will architect and deploy scalable AI solutions that improve product quality, optimize production efficiency, and modernize engineering workflows through advanced analytics, agentic AI, and GenAIdriven automation, supporting the organization's broader agentic shift toward intelligent, autonomous digital workflows.

• Lead ML/DL initiatives to improve manufacturing processes, increase yield, reduce scrap, enable predictive maintenance, and optimize production using complex tabular, image, and timeseries data from machines and sensors.
• Build and scale GenAI agents, RAG systems, and LLMpowered applications that enable autonomous and semiautonomous decisionmaking, enhance engineering productivity, streamline documentation and troubleshooting, and automate internal knowledge management in alignment with the agentic shift strategy.
• Deploy and operate AI systems using microservices architectures, with robust CI/CD pipelines, MLOps/LLMOps, and productiongrade reliability to support scalable, alwayson agentic workflows.
• Tackle ambiguous, highimpact manufacturing and engineering problems by framing the right questions, isolating meaningful signals in noisy data, and delivering endtoend AI solutions, from problem definition through production deployment, to drive measurable business value.
• Elevate team capabilities through handson technical leadership, setting high standards for code quality, CI/CD, and responsible AI practices, particularly for agentbased and autonomous AI systems.

• Leadership and Communication: Proven ability to lead technical initiatives, influence stakeholders, and communicate complex insights effectively to technical and executive audiences.
• Relentless drive to innovate, proactively solve complex problems and push the boundaries of AI implementation in manufacturing environments.

• Strong proficiency in Python and modern AI frameworks (e.g., TensorFlow, PyTorch, AutoML). Experience with LLMbased application development, including RAG patterns, vector databases, agent frameworks, and modern GenAI APIs.
• Hands-on experience with microservices architecture, CI/CD, Docker, Kubernetes and MLOps/LLMOps in production or industrial environments.
• Experience working with factory sensor data, machine logs, production line analytics or predictive failure models.
• Pursuring a Master's degree or PhD in Artificial Intelligence, Data Science, Computer Science and Engineering or a related field.

Our Normandale campus spans two suburbs, Edina and Bloomington, and serves as the Recording Head development and manufacturing arm of Seagate. Located in the heart of a bustling community, Seagate offers an on-site cafe, or if you prefer, you can drive to one of many restaurants just minutes away.Needto grab a gift over lunchtime? Shopping is abundant in the area. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, outdoor activities, tournaments, and group workouts. Looking for something more laid back? Reset in one of ourmeditationrooms, orsimply take a walk around our indoor walking path. On-site cultural festivals, celebrations, and community volunteer opportunities also abound.

Location: Normandale, United States

Travel: None