E-3 Visa Data Scientist Jobs
Data Scientist roles qualify for E-3 visa sponsorship because they meet the specialty occupation standard, a bachelor's degree in statistics, computer science, or a related quantitative field is required, not just preferred. The E-3 has no lottery and no annual cap, so Australian professionals can apply year-round whenever an employer is ready to hire.
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Company 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.
Job Description
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
Qualifications
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)
Additional Information
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.
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.

Company 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.
Job Description
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
Qualifications
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)
Additional Information
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.
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.
See all 1,185+ Data Scientist jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Scientist roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Scientist
Frame your degree field precisely
U.S. consular officers assess whether your specific degree directly supports the Data Scientist role. A statistics or mathematics degree maps cleanly; a general business degree needs supporting evidence. Prepare a one-page credential summary linking your field of study to your job duties.
Target employers with existing LCA history
Search the DOL's Foreign Labor Application Gateway disclosure data to identify employers who have filed Labor Condition Applications for Data Scientist or related titles. These employers already understand the E-3 process and are far less likely to withdraw an offer over sponsorship concerns.
Address the specialty occupation question early
Data Scientist roles at some companies blend analyst and engineering duties in ways that blur the specialty occupation line. Before accepting an offer, review the job description to confirm a bachelor's degree in a specific technical field is listed as required, not merely preferred, to avoid LCA complications.
Use Migrate Mate's E-3 filing service for LCA and paperwork
Once you have an offer, Migrate Mate's E-3 filing service manages the LCA submission with DOL, prepares your DS-160, and organises your consulate appointment package. This removes the back-and-forth between you and your employer on government filing requirements.
Clarify your employment model before the LCA is filed
Contract, third-party placement, and remote-first roles create prevailing wage complexities that affect the LCA. If your Data Scientist role involves a client worksite or hybrid arrangement across states, your employer must file the LCA against the correct wage level and location before your visa application can proceed.
Time your consulate appointment around your start date
The E-3 visa is issued for up to two years, but your admitted period is tied to the LCA validity. Book your consulate appointment in Sydney, Melbourne, or Perth at least four to six weeks before your target start date to allow for administrative processing, which occasionally adds two to four weeks.
Data Scientist jobs are hiring across the US. Find yours.
Find Data Scientist JobsData Scientist E-3 Visa: Frequently Asked Questions
How do I find Data Scientist jobs with E-3 visa sponsorship?
Migrate Mate lists Data Scientist roles from U.S. employers who are open to E-3 sponsorship for Australian professionals. Standard job boards don't filter by visa type or E-3 history, so you end up cold-applying to roles where sponsorship isn't on the table. Searching through Migrate Mate puts you in front of employers who already understand the E-3 process.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Data Scientist role qualify as a specialty occupation for the E-3?
Yes, in most cases. USCIS and consular officers assess whether the role theoretically and practically requires at least a bachelor's degree in a specific field such as statistics, computer science, or applied mathematics. Roles where any degree is accepted, or where experience alone substitutes for a degree, can face scrutiny. The job description your employer provides with the LCA needs to reflect a genuine degree requirement.
How does the E-3 compare to the H-1B for Data Scientist roles?
The practical difference is timing and certainty. H-1B has an annual lottery with roughly a one-in-four selection rate, so you can clear every requirement and still not get a visa. The E-3 has a 10,500 annual allocation that has never been reached, meaning any qualified Australian with a valid offer can apply without waiting for a lottery result. For Data Scientists who have an offer, the E-3 path is direct and predictable.
Can I switch Data Scientist employers while on an E-3?
Yes, but each new employer must file a fresh LCA with DOL and you'll need to either apply for a new E-3 visa at an Australian consulate or, if you're already in the U.S., explore change of status options. Your current E-3 is tied to your sponsoring employer, so you cannot begin work for the new employer until the new LCA is certified and your visa documentation reflects the change.
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