H-1B Visa Data Scientist Jobs
Data Scientist roles qualify as H-1B visa specialty occupations under USCIS guidelines, requiring at least a bachelor's degree in statistics, computer science, or a directly related field. Tech, finance, and healthcare employers file LCAs with DOL before sponsoring, and the annual H-1B visa cap means timing your job search around the April lottery window matters.
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Get Access To All JobsHelp shape the next generation of generative AI at Apple. We're hiring data scientists to work on ambitious projects that will influence the future of Apple, our products, and the people who use them every day.
In this role, you'll apply product data science to the safety of Apple Intelligence - features like Siri, Image Playground and Genmoji, Writing Tools, Photos Clean Up, and many more on the way. As part of Apple's Responsible AI Team, you'll support generative AI features from early development through production, holding the line on quality, safety, fairness, inclusion, and user privacy. Your insights will directly shape how millions of people experience safety in Apple Intelligence.
Description
Apple's Responsible AI Team is the steward of product safety for Apple Intelligence. We set safety policy and partner with feature engineering teams to ensure every generative AI experience Apple ships reflects our values.
Our work spans three pillars: human and automated red teaming; pre-ship safety evaluation and post-ship monitoring; and the design of safety mitigations - overrides, guardrail models, and base model safety alignment. This role brings the data science lens to all three. You'll uncover and characterize safety weaknesses for red teaming, ground evaluations in real-world usage signal, and measure the in-production performance of the mitigations we deploy.
The is a role for someone who loves the full arc of applied data science: scientific investigation, careful interpretation, cross-functional collaboration, and crisp communication of what the numbers actually mean.
MINIMUM QUALIFICATIONS
MS, or PhD in Computer Science, Machine Learning, Statistics, or a related field; or equivalent experience.
Strong foundation in data science, analytics, and machine learning, including statistical analysis, A/B testing, and the full lifecycle of designing, running, and interpreting experiments.
Strong programming skills in Python and at least one data-querying language (SQL, Spark, or similar). Comfort with AI-assisted development tools such as Claude Code, Codex, or Copilot.
Track record of framing research and business questions, and answering them with the right statistical tools applied to messy real-world data.
Excellent technical communication skills, with a proven ability to explain hard ideas (especially causal ones) to audiences ranging from fellow data scientists to engineers to executive partners.
Willingness to work with highly sensitive material, including exposure to offensive and controversial content.
PREFERRED QUALIFICATIONS
Experience working in the Responsible AI space.
Experience working with usage data from AI-powered products, and a current view on how these systems commonly fail.
A record of scientific research and publication.
Genuine curiosity about fairness and bias in generative AI, and a drive to make the technology more equitable.
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 $181,100 and $318,400, 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.
Help shape the next generation of generative AI at Apple. We're hiring data scientists to work on ambitious projects that will influence the future of Apple, our products, and the people who use them every day.
In this role, you'll apply product data science to the safety of Apple Intelligence - features like Siri, Image Playground and Genmoji, Writing Tools, Photos Clean Up, and many more on the way. As part of Apple's Responsible AI Team, you'll support generative AI features from early development through production, holding the line on quality, safety, fairness, inclusion, and user privacy. Your insights will directly shape how millions of people experience safety in Apple Intelligence.
Description
Apple's Responsible AI Team is the steward of product safety for Apple Intelligence. We set safety policy and partner with feature engineering teams to ensure every generative AI experience Apple ships reflects our values.
Our work spans three pillars: human and automated red teaming; pre-ship safety evaluation and post-ship monitoring; and the design of safety mitigations - overrides, guardrail models, and base model safety alignment. This role brings the data science lens to all three. You'll uncover and characterize safety weaknesses for red teaming, ground evaluations in real-world usage signal, and measure the in-production performance of the mitigations we deploy.
The is a role for someone who loves the full arc of applied data science: scientific investigation, careful interpretation, cross-functional collaboration, and crisp communication of what the numbers actually mean.
MINIMUM QUALIFICATIONS
MS, or PhD in Computer Science, Machine Learning, Statistics, or a related field; or equivalent experience.
Strong foundation in data science, analytics, and machine learning, including statistical analysis, A/B testing, and the full lifecycle of designing, running, and interpreting experiments.
Strong programming skills in Python and at least one data-querying language (SQL, Spark, or similar). Comfort with AI-assisted development tools such as Claude Code, Codex, or Copilot.
Track record of framing research and business questions, and answering them with the right statistical tools applied to messy real-world data.
Excellent technical communication skills, with a proven ability to explain hard ideas (especially causal ones) to audiences ranging from fellow data scientists to engineers to executive partners.
Willingness to work with highly sensitive material, including exposure to offensive and controversial content.
PREFERRED QUALIFICATIONS
Experience working in the Responsible AI space.
Experience working with usage data from AI-powered products, and a current view on how these systems commonly fail.
A record of scientific research and publication.
Genuine curiosity about fairness and bias in generative AI, and a drive to make the technology more equitable.
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 $181,100 and $318,400, 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 2,250+ H-1B Visa Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Scientist Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Scientist
Verify your degree field matches the role
USCIS requires a direct relationship between your degree and the Data Scientist position. A degree in statistics, mathematics, or computer science maps cleanly. A degree in an unrelated field increases RFE risk, so document how your coursework connects to the role before applying.
Use OFLC Wage Search before salary negotiations
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your specific SOC code and work location. Pull the OFLC Wage Search figures for SOC 15-2051 in your target metro before you enter offer discussions.
Target cap-exempt employers for faster timelines
Universities, nonprofit research institutions, and government-affiliated entities are cap-exempt, meaning they can file your H-1B petition any time of year without entering the lottery. If lottery timing creates a gap in your authorization, these employers eliminate that risk entirely.
Find H-1B sponsors using Migrate Mate
Search Data Scientist roles on Migrate Mate to filter directly for employers with verified H-1B LCA filing history. You'll see which companies have sponsored this role before, letting you focus applications on confirmed sponsors rather than guessing from job postings.
Request premium processing if your OPT end date is tight
USCIS premium processing upgrades adjudication to 15 business days. If your OPT expires close to October 1 and your employer files in April, premium processing reduces the risk of a gap before your H-1B takes effect. Ask your employer to include it in the petition.
Pull your O*NET profile before the specialty occupation assessment
Employers and attorneys use O*NET to document that Data Scientist roles require a specific bachelor's degree. Review the O*NET occupation profile for your SOC code early so you can align your job description and offer letter language with what USCIS expects to see.
H-1B Visa Data Scientist: Frequently Asked Questions
Does a Data Scientist role qualify as an H-1B specialty occupation?
Yes. USCIS consistently recognizes Data Scientist positions as specialty occupations because the role requires at least a bachelor's degree in a directly related field such as statistics, computer science, mathematics, or data science. Your employer will document this in the H-1B petition using your job description and degree credentials. Roles where any bachelor's degree is accepted regardless of field are harder to qualify, so your offer letter should specify the required degree discipline.
Which employers sponsor H-1B visas for Data Scientists?
Technology companies, financial institutions, healthcare systems, and large consulting firms are among the most active H-1B sponsors for Data Scientist roles. Employers must file a Labor Condition Application with DOL before petitioning USCIS, so prior LCA filings are a reliable proxy for sponsorship willingness. Migrate Mate surfaces employers with verified H-1B filing history for this role, so you can focus your search on confirmed sponsors.
How does the H-1B lottery affect my Data Scientist job search timeline?
USCIS opens H-1B registration each March for the fiscal year starting October 1. If your employer submits a registration and you're selected, the petition can be filed between April and June with an October 1 start date. Cap-exempt employers, including universities and nonprofit research organizations, aren't subject to the lottery and can file year-round, which is worth factoring into your job search if you're on a tight authorization timeline.
What wage level should I expect on my H-1B LCA as a Data Scientist?
Your employer's LCA must certify a wage at or above the DOL prevailing wage for the Data Scientist SOC code in your specific work location. Prevailing wages are tiered from Level I through Level IV based on experience and complexity. You can look up the applicable figures using the OFLC Wage Search tool before entering salary negotiations, which helps you evaluate whether an offer satisfies the LCA requirement.
Can I change employers while on an H-1B as a Data Scientist?
Yes. H-1B portability under AC21 lets you start working for a new employer once they file an H-1B transfer petition on your behalf, without waiting for approval, as long as your current H-1B has been approved for at least 180 days and the new role is in a same or similar occupational classification. Data Scientist to Data Scientist transfers are straightforward. Your new employer must file a new LCA and H-1B petition before or when you start.