By converting physical signals - heartbeats, sounds, light waves - into data, we enable robots, cars and other devices to interact with people and improve our world. * Building and operating scalable data pipelines for sensor, log, process, time‑series, and FDC data (edge/server, integration with FDC/MES/R2R/SPC) * Ensuring data quality, standards, and data governance (interfaces, documentation, semantics/metadata, ownership) in close collaboration ("handshake") with IT/OT * Professional experience in Data Science / Machine Learning / Traditional AI in a manufacturing environment * Project experience in AI and data‑science environments, as well as experience with manufacturing processes and industrial analytics * Solid knowledge of statistics and data‑driven root‑cause analysis (e.g., correlation, regression models, hypothesis testing), as well as skills in data engineering and MLOps (SQL, Git, Docker, CI/CD, model monitoring)
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