J-1 Visa Data Scientist Jobs
Data Scientist roles in the United States are accessible to international professionals through J-1 visa sponsorship under the Research Scholar, Trainee, or Intern program categories, depending on your career stage. A U.S. Department of State-designated sponsor organization issues your DS-2019, while your hiring company serves as the host.
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Get Access To All JobsWho we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What you’ll do
About the internship experience
Our internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products.
Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that will directly contribute to Stripe's mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.
We're not just focused on your immediate contributions; we’re invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.
Responsibilities
You will:
- Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
- Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
- Influence business actions and strategy by developing actionable insights through metrics and dashboards.
- Drive the collection of new data and the refinement of existing data sources.
- Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
- Present your work to the Data Science team, partner teams, and fellow interns
Who you are
Minimum requirements
We’re looking for someone who has:
- Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027
- Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
- Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
- Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
Preferred qualifications
You also likely have:
- Experience writing and debugging data pipelines
- Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
- Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What you’ll do
About the internship experience
Our internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products.
Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that will directly contribute to Stripe's mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.
We're not just focused on your immediate contributions; we’re invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.
Responsibilities
You will:
- Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
- Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
- Influence business actions and strategy by developing actionable insights through metrics and dashboards.
- Drive the collection of new data and the refinement of existing data sources.
- Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
- Present your work to the Data Science team, partner teams, and fellow interns
Who you are
Minimum requirements
We’re looking for someone who has:
- Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027
- Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
- Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
- Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
Preferred qualifications
You also likely have:
- Experience writing and debugging data pipelines
- Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
- Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
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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 J-1 Visa Sponsorship as a Data Scientist
Match your J-1 category to your career stage
Current students enrolled in a degree program typically qualify for the Intern category. Professionals with a relevant degree and prior data science work experience should target the Trainee category, which allows up to 18 months of supervised training in the United States.
Frame your training plan around measurable objectives
Designated sponsors require a detailed training plan before issuing your DS-2019. Structure yours around specific data science deliverables: model development milestones, tools you'll gain proficiency in, and reporting relationships. Vague plans stall approvals.
Check whether the host employer holds an existing sponsor relationship
Some research institutes and universities already have agreements with sponsors like IIE or Cultural Vistas. Ask hiring managers directly whether they've hosted J-1 Trainees or Research Scholars before, because an established relationship shortens your path to a certified DS-2019.
Find host employers open to J-1 arrangements on Migrate Mate
Use Migrate Mate to identify U.S. employers actively hiring Data Scientists in contexts aligned with J-1 sponsorship. Filter by role and sector so you're targeting organizations, such as research labs or analytics teams, that routinely work with exchange visitors.
Verify your SOC code before any sponsor conversation
Sponsors and host employers use the Standard Occupational Classification system to categorize your role. Pull the Data Scientist profile from O*NET and confirm your job duties align with that code. Mismatched duties are a common reason training plan submissions get returned.
Clarify home residency requirements early in your offer negotiation
Depending on your funding source or country of nationality, you may be subject to the two-year home residency requirement after your J-1 ends. Resolve this before signing an offer letter, because it directly affects any future H-1B or green card timeline your employer might expect.
Data Scientist jobs are hiring across the US. Find yours.
Find Data Scientist JobsData Scientist J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Data Scientist role?
It depends on your career stage. If you're currently enrolled in a graduate program and the work is part of your curriculum, the Intern category applies. If you've already completed your degree and have professional data science experience, the Trainee category is typically the right fit, covering supervised training for up to 18 months. Researchers affiliated with universities or institutes may qualify under the Research Scholar category instead.
Who actually sponsors my J-1 visa as a Data Scientist?
Your visa sponsor is a U.S. Department of State-designated organization, not your employer. Organizations like IIE, Cultural Vistas, and CIEE issue the DS-2019 form that establishes your exchange visitor status. Your hiring company is the host, not the sponsor. The designated sponsor monitors your program compliance and is legally responsible for your exchange visitor program, while your employer provides the training environment.
Can I work on proprietary machine learning models as a J-1 Trainee?
Yes, as long as the work aligns with the approved training plan your sponsor reviews. The training plan must describe specific learning objectives, not just production deliverables. If your role shifts significantly toward building commercial products with no clear skills-development component, you risk falling outside what a Trainee program is designed to cover. Keep your supervisor aligned with the plan's stated objectives throughout the placement.
How do I find U.S. employers willing to host a J-1 Data Scientist?
Use Migrate Mate to search Data Scientist roles at U.S. employers in sectors that commonly work with exchange visitors, such as research institutions, analytics consultancies, and technology companies with established international talent programs. From there, ask directly during the interview process whether the organization has previously hosted J-1 Trainees or Research Scholars, since an existing relationship with a designated sponsor significantly streamlines your DS-2019 issuance.
Does the two-year home residency requirement apply to Data Scientists on J-1?
It can. The two-year home residency requirement applies if your J-1 program was funded by your home country's government or the U.S. government, or if your field appears on your home country's skills list. This requirement means you must return home for two years before changing to most other visa statuses, including H-1B. Determine whether it applies to you before accepting a host employer's offer, because it affects your long-term visa options.
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