Intuitive
Healthcare
OperationsDataScientist
Neural analysis suggests this role is
optimal for mid candidates.
“Operations Data Scientist at Intuitive. Skills: Data pipelines, Models, Visualizations, Data flows, Semantic models, Dashboards, Alerts, Programming, Scripting, SQL. Building and operating data pipelines, models, and visualizations. Architecting reliable data flows from MES/ERP and equipment sources”
Industry & Context.
Solving meaningful problems; Solving complex manufacturing systems; Identifying and resolving discrepancies
Proof of vaccination against certain diseases including COVID-19 may be required, Subject to U. S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status
What They're Looking For.
Must Have
Minimum 2 years of experience in a professional role involving data (e. g. data engineering, data science, data visualizations), Minimum 1 year of programming or scripting experience (e. g. Python, C++, Java, Bash, PowerShell), Minimum 1 year of hands‑on experience using SQL, Bachelor's degree in Business, Economics, Statistics, Engineering, Physics, or other quantitative field
Nice to Have
Minimum 2 years of hands-on experience building, operating, or supporting Operations data pipelines or analytics systems, Experience with Snowflake SQL, Experience in a manufacturing environment with understanding of MRP systems and factory workflows, Proficiency with visualization and analytics tools such as Tableau, Smartsheet, or Posit, Familiarity with statistical process control (SPC)
What You'll Do.
Building and operating data pipelines
Architecting reliable data flows from MES/ERP and equipment sources
Transforming raw signals into trusted semantic models
Surfacing insights via dashboards and alerts
and enhancing data pipelines
Building new integrations to close data gaps
user-friendly dashboards
Ensuring data quality and KPI accuracy
Implementing proactive monitoring
and automated quality checks
Serving as the analytics point of contact for Operations and Manufacturing Engineering
Working with data teams across the organization
Communicating technical findings
How You'll Work.
Team & Collaboration
Partners with Manufacturing Engineering, Automation Equipment and Test (AET) Engineering, Operations, Industrial Engineering, Quality, and IT/Data teams; Serve as the analytics point of contact for Operations and Manufacturing Engineering; Work with data teams across the organization; Partnering closely with cross‑functional teams
Communication Scope
Excellent communication (written and verbal); Presentation skills; Ability to distill complex information into clear insights; Communicate technical findings in a clear, compelling way that resonates with both technical and non‑technical audiences
Process & Methodology
Organization and time-management skills, Ability to manage multiple priorities in a dynamic environment
Full Job Description
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care , our technologies—like the da Vinci surgical system and Ion —have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare , you’ll find your purpose here. 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 d
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