Data Scientist Jobs at Apple with Visa Sponsorship
Apple's Data Scientist roles sit at the intersection of machine learning, product analytics, and large-scale consumer data. The company has a long-standing track record of sponsoring work visas across multiple categories for this function, making it a realistic target for international candidates with strong technical credentials.
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INTRODUCTION
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other’s ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something.
DESCRIPTION
The Special Projects team at Apple is developing novel user-facing conversational features that leverage the multimodal capabilities of state-of-the-art foundation models. A key component of this process is the ability to produce complex simulated scenario data, in order to train and evaluate agentic AI models. We are looking for a skilled Data Scientist to work closely with our Simulation and Machine Learning Evaluations teams to generate large synthetic datasets, analyze the gap between simulated and real data, and evaluate and fine-tune agentic AI model performance at various tasks. A successful candidate is experienced in managing large, multi-modal datasets, in translating subjective product requirements into objective criteria, and has strong statistical analysis skills.
Responsibilities
- Work closely with ML Engineers to understand model evaluation needs
- Work closely with the Simulation team to design and generate large, multi-modal datasets for model evaluation
- Analyze the gap between simulated and real data
- Collaborate with the Simulation team to prioritize and address simulation performance gaps
MINIMUM QUALIFICATIONS
- BA or Master’s degree in Computer Science, Data Science, or related field
- 2+ years of hands-on experience working with large data sets
- Proficiency in Python
- Excellent communication skills
PREFERRED QUALIFICATIONS
- PhD in Computer Science, Data Science, Statistics, or other STEM field
- Hands-on industry experience with product focused statistical analysis
- Experience working with large-scale multimodal data and data-annotation pipelines
- Experience working with simulations to produce large datasets
- Experience with experimental design, A/B testing and Failure Analysis
- A track record of publications or technical presentations in Data Science
- Excellent cross-functional collaboration skills
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 $126,800 and $220,900, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

INTRODUCTION
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other’s ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something.
DESCRIPTION
The Special Projects team at Apple is developing novel user-facing conversational features that leverage the multimodal capabilities of state-of-the-art foundation models. A key component of this process is the ability to produce complex simulated scenario data, in order to train and evaluate agentic AI models. We are looking for a skilled Data Scientist to work closely with our Simulation and Machine Learning Evaluations teams to generate large synthetic datasets, analyze the gap between simulated and real data, and evaluate and fine-tune agentic AI model performance at various tasks. A successful candidate is experienced in managing large, multi-modal datasets, in translating subjective product requirements into objective criteria, and has strong statistical analysis skills.
Responsibilities
- Work closely with ML Engineers to understand model evaluation needs
- Work closely with the Simulation team to design and generate large, multi-modal datasets for model evaluation
- Analyze the gap between simulated and real data
- Collaborate with the Simulation team to prioritize and address simulation performance gaps
MINIMUM QUALIFICATIONS
- BA or Master’s degree in Computer Science, Data Science, or related field
- 2+ years of hands-on experience working with large data sets
- Proficiency in Python
- Excellent communication skills
PREFERRED QUALIFICATIONS
- PhD in Computer Science, Data Science, Statistics, or other STEM field
- Hands-on industry experience with product focused statistical analysis
- Experience working with large-scale multimodal data and data-annotation pipelines
- Experience working with simulations to produce large datasets
- Experience with experimental design, A/B testing and Failure Analysis
- A track record of publications or technical presentations in Data Science
- Excellent cross-functional collaboration skills
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 $126,800 and $220,900, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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Get Access To All JobsTips for Finding Data Scientist Jobs at Apple Jobs
Tailor your portfolio to Apple's product data
Apple hires Data Scientists who work on privacy-first ML pipelines and on-device intelligence. Build portfolio projects that reflect experience with federated learning, differential privacy, or large-scale behavioral data, since generic Kaggle work rarely stands out in their screening process.
Identify which Apple teams actively hire
Apple's Data Scientist openings span hardware analytics, Siri, App Store, and health research. Review active job postings by business unit before applying so your cover letter and resume map directly to the team's stated data stack and research priorities.
Use Migrate Mate to filter Apple Data Scientist openings by visa type
Apple posts Data Scientist roles across multiple teams with different sponsorship willingness. Use Migrate Mate to filter live openings by the visa category you need, so you're only applying to roles where your work authorization situation is already a known fit.
Prepare for PERM if you plan to pursue a Green Card
Apple sponsors EB-2 and EB-3 Green Cards for Data Scientists through DOL's PERM labor certification process. Discuss Green Card timelines with your recruiter before signing an offer so you understand whether Apple initiates PERM filings for your role level.
Data Scientist at Apple jobs are hiring across the US. Find yours.
Find Data Scientist at Apple JobsFrequently Asked Questions
Does Apple sponsor H-1B visas for Data Scientists?
Yes, Apple sponsors H-1B visas for Data Scientists. Because H-1B is a cap-subject visa, your petition must be selected in the annual USCIS lottery before Apple can file. Apple's legal team manages the filing process, but the lottery selection is outside the company's control, so early coordination with HR on your timeline is important.
How do I apply for Data Scientist jobs at Apple?
Applications go through Apple's careers site at jobs.apple.com. Search by job family or team to find Data Scientist openings. Tailor your resume to the specific team's data domain, whether that's health, hardware, or consumer products. You can also browse Apple's current Data Scientist openings filtered by visa type on Migrate Mate before applying directly through Apple.
Which visa types does Apple commonly sponsor for Data Scientists?
Apple sponsors H-1B, H-1B1 (for Chilean and Singaporean nationals), E-3 (for Australian nationals), TN (for Canadian and Mexican nationals), and F-1 OPT and CPT for students. For permanent residence, Apple files EB-2 and EB-3 Green Card petitions through the DOL PERM labor certification process for qualifying Data Scientist roles.
What qualifications does Apple expect for Data Scientist roles?
Most Apple Data Scientist roles require a graduate degree in statistics, computer science, or a related quantitative field, along with hands-on experience in Python, SQL, and machine learning frameworks. Roles on hardware or Siri teams often require familiarity with on-device ML constraints. Research-oriented roles may expect a PhD and a publication record in machine learning or applied statistics.
How do I estimate the timeline from offer to starting work on a visa at Apple?
Timeline depends on your visa category. E-3 and TN petitions can be completed in weeks through consular processing. H-1B has an annual lottery in March, with an October 1 start date if selected. F-1 OPT allows you to start working before H-1B status begins. USCIS premium processing, available for H-1B, reduces adjudication to 15 business days once filed.
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