Operations Data Scientist

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 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

Required Skills and Experience

• 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

• Excellent communication (written and verbal), presentation and documentation skills

• Strong organization and time‑management skills, with the ability to manage multiple priorities in a dynamic environment

• Ability to distill complex information into clear insights that support operational improvements

Required Education and Training

• Bachelor's degree in Business, Economics, Statistics, Engineering, Physics, or other quantitative field

Working Conditions

• None

Preferred Skills and Experience

• 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)

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19.  Details can vary by role.

Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.

Mandatory Notices

U.S. Export Controls Disclaimer:  In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees
who are nationals from countries currently on embargo or sanctions status.

Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).  

For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s
start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. 

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.

This position may be filled at a different job level than listed here depending on

business need and/or on the selected candidate’s experience, knowledge and skills.

Compensation will be based primarily on the job level at which the role is filled and the

candidate’s qualifications, consistent with applicable law.

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.