Operations Data Scientist at Intuitive

Primary Function of Position The Operations Data Scientist plays a critical role in transforming how manufacturing teams see and understand their operations by building and operating data pipelines, models, and visualizations that deliver real‑time line visibility to manufacturing performance and associated key performance indicators (KPIs).  This role partners with Manufacturing Engineering, Automation Equipment and Test (AET) Engineering, Operations, Industrial Engineering, Quality, and IT/Data teams to architect reliable data flows from MES/ERP and equipment sources, transform raw signals into trusted semantic models, and surface insights via dashboards and alerts that drive business efficiencies and support continuous improvement (throughput, yield, cost, rework, OEE). The ideal candidate thrives at the intersection of data engineering and operations.  They enjoy understanding how complex manufacturing systems work, uncovering hidden patterns in data, and turning raw information into intuitive analytics that drive action on the floor.  This role is perfect for someone who is energized by solving meaningful problems, partnering closely with cross‑functional teams, and owning the full lifecycle of data—from source to insight. Essential Job Duties • Develop, maintain, and enhance data pipelines that power manufacturing operations with high reliability and performance, balancing latency, reliability, and cost • Build new integrations to close data gaps, ensuring end‑to‑end visibility across production lines, equipment, and MES/ERP systems • Build dynamic, user‑friendly dashboards that provide clear, actionable insights for both leadership and shop‑floor teams • Ensure data quality and KPI accuracy by identifying and resolving discrepancies between source systems and analytics outputs • Implement proactive monitoring, data validation, and automated quality checks to deliver trusted, high‑availability datasets • Serve as the analytics point of contact for Operations and Manufacturing Engineering - prioritize requirements, publish release notes, and host enablement sessions with line leaders and supervisors • Work with data teams across the organization to ensure the right data is available to answer questions and monitor operations • Communicate technical findings in a clear, compelling way that resonates with both technical and non‑technical audiences