E-3 Visa Research Data Scientist Jobs
Research Data Scientist roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree or higher in statistics, computer science, or a related quantitative field. The E-3 has no lottery and no annual cap, making it a reliable path for Australian professionals pursuing U.S. data science careers.
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Get Access To All JobsImagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product.
Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
When collecting multi-modal human data, establishing a reliable "ground truth" can be notoriously difficult and subjective. We are looking for an ML Data Researcher who will tackle this exact challenge. Your goal will be to design and conduct experiments on our data collection methods to discover techniques that reduce subjectivity, improve signal quality, and ultimately help our multi-modal models converge faster and achieve higher performance.
Responsibilities
- Define research topics and data strategies aligned with model performance and product requirements
- Design, build, and run controlled experiments to evaluate how data collection methods, quality, and composition affect model convergence and downstream performance
- Design new ways to collect, label, and interpret multi-modal human data, translating insights into improved collection protocols and data specifications
- Design novel methods to collect, analyze, and interpret multi-modal human data, translating these insights into highly reliable "ground truth" specifications
- Characterize the practical and statistical limits of data collection setups (sensors, protocols, annotation pipelines) to inform feasibility and define data requirements
- Develop and analyze real-world data collection experiments (e.g., A/B tests on collection methodology, sampling strategy, labeling schemes) to support model training work
- Analyze and report results clearly, translating findings into actionable recommendations for data pipelines, labeling guidelines, and dataset design
- Partner with multidisciplinary teams across hardware, software, research, and ML engineering to drive data collection from concept to production-scale
Minimum Qualifications
BS in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
Hands-on experience in a data-oriented, experimentation-heavy role, ideally supporting ML model development
Preferred Qualifications
MS/PhD in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
3 years of relevant industry experience
Experience with multi-modal human data (e.g., video, audio, motion capture) and the challenges of establishing ground truth for such data
Familiarity with human probing/annotation methods and inter-rater reliability techniques
Experience designing data collection experiments and interpreting their effect on model training/convergence
Outstanding communicator with the ability to present complex technical findings to diverse audiences
Collaborative team player who thrives in multidisciplinary, cross-functional environment
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product.
Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
When collecting multi-modal human data, establishing a reliable "ground truth" can be notoriously difficult and subjective. We are looking for an ML Data Researcher who will tackle this exact challenge. Your goal will be to design and conduct experiments on our data collection methods to discover techniques that reduce subjectivity, improve signal quality, and ultimately help our multi-modal models converge faster and achieve higher performance.
Responsibilities
- Define research topics and data strategies aligned with model performance and product requirements
- Design, build, and run controlled experiments to evaluate how data collection methods, quality, and composition affect model convergence and downstream performance
- Design new ways to collect, label, and interpret multi-modal human data, translating insights into improved collection protocols and data specifications
- Design novel methods to collect, analyze, and interpret multi-modal human data, translating these insights into highly reliable "ground truth" specifications
- Characterize the practical and statistical limits of data collection setups (sensors, protocols, annotation pipelines) to inform feasibility and define data requirements
- Develop and analyze real-world data collection experiments (e.g., A/B tests on collection methodology, sampling strategy, labeling schemes) to support model training work
- Analyze and report results clearly, translating findings into actionable recommendations for data pipelines, labeling guidelines, and dataset design
- Partner with multidisciplinary teams across hardware, software, research, and ML engineering to drive data collection from concept to production-scale
Minimum Qualifications
BS in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
Hands-on experience in a data-oriented, experimentation-heavy role, ideally supporting ML model development
Preferred Qualifications
MS/PhD in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
3 years of relevant industry experience
Experience with multi-modal human data (e.g., video, audio, motion capture) and the challenges of establishing ground truth for such data
Familiarity with human probing/annotation methods and inter-rater reliability techniques
Experience designing data collection experiments and interpreting their effect on model training/convergence
Outstanding communicator with the ability to present complex technical findings to diverse audiences
Collaborative team player who thrives in multidisciplinary, cross-functional environment
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 566+ E-3 Visa Research Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Research Data Scientist Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Research Data Scientist
Translate your Australian degree for U.S. employers
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 visa specialty occupation purposes, but your offer letter must explicitly list a degree requirement. Confirm your qualification wording matches the role before accepting any offer.
Target employers with active LCA filing history
Search DOL's Foreign Labor Application Gateway to identify companies that have filed LCAs for Data Scientist or Research Scientist roles. Employers already familiar with the LCA process move faster and make fewer filing errors than those sponsoring for the first time.
Clarify specialty occupation status for hybrid roles
Research Data Scientist positions that blend engineering and product work can face scrutiny over whether the role genuinely requires a specific degree field. Push for a job description that names the required discipline, not just a generic degree preference, before your employer files the LCA.
Time your consulate appointment around research project cycles
E-3 visas are issued for up to two years, but your start date must align with your certified LCA. If your role has a fixed research cohort or grant start date, factor consulate wait times at Sydney, Melbourne, or Perth into your offer negotiation.
Use Migrate Mate's E-3 filing service for LCA and consulate prep
Research Data Scientist LCAs require accurate SOC code classification and a prevailing wage that reflects the research context of the role. Use Migrate Mate's E-3 filing service to handle your LCA filing and consulate preparation so classification errors don't delay your start date.
Verify your employer meets E-Verify requirements for research institutions
Universities and federally funded research institutions must comply with E-Verify enrollment requirements. Confirm your employer is enrolled before accepting an offer, since E-Verify status affects your I-9 onboarding timeline and any future STEM work authorization considerations.
E-3 Visa Research Data Scientist: Frequently Asked Questions
How do I find Research Data Scientist jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles that include E-3 visa sponsorship. You can filter by job title and see which employers have a track record of sponsoring Australian workers. Generic job boards don't filter by visa type, so you end up manually screening dozens of listings to find employers willing to file an LCA.
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 Research Data Scientist role qualify as a specialty occupation for the E-3?
Yes, provided the position requires a bachelor's degree or higher in a specific field such as statistics, mathematics, computer science, or a related quantitative discipline. The role must require that specific degree, not merely prefer it. Positions where any bachelor's degree satisfies the requirement, regardless of field, are harder to support under the specialty occupation standard.
How does the E-3 compare to the H-1B for Research Data Scientist roles?
The E-3 has no lottery and no annual cap, so you can apply at any point in the year and receive a decision at your consulate interview. The H-1B visa selection rate has been around 25% in recent fiscal years, meaning most applicants don't get selected regardless of qualifications. For Australian nationals, the E-3 is a substantially more predictable path into U.S. data science roles.
Can I change employers or research institutions while on an E-3?
Yes, but you need to restart the process with the new employer. Your new sponsor must file a certified LCA for the new role before you begin work, and you'll typically need a new E-3 visa stamp unless you're changing status from inside the U.S. There's no portability mechanism comparable to H-1B AC21, so plan your transition timeline carefully around consulate appointment availability.