J-1 Visa Data Contributor Jobs
Data Contributor roles in the United States are accessible to exchange visitors through J-1 visa sponsorship, typically under the Intern or Trainee program category. A designated sponsor organization issues your DS-2019, while the U.S. employer acts as your host. No lottery or annual cap applies.
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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
See all 1,146+ Data Contributor jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Contributor roles.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Data Contributor
Frame your portfolio around structured data workflows
Trainee and Intern DS-2019 applications require a detailed training plan. Documenting specific data collection, cleaning, and annotation methodologies you have already used makes that plan concrete and easier for a designated sponsor to approve.
Distinguish Intern from Trainee before applying
If you are currently enrolled in a degree program, the J-1 Intern category applies. If you graduated within the past 12 months, Trainee is the correct category. Applying under the wrong category stalls your DS-2019 issuance before the host employer can onboard you.
Target host employers with existing J-1 hosting experience
Search roles on Migrate Mate to surface U.S. companies that have previously hosted J-1 exchange visitors in data-focused roles. Hosts familiar with training plan requirements move faster and rarely request repeated documentation from applicants.
Verify your wage against OFLC Wage Search before signing
Your offer must meet prevailing wage standards for the relevant SOC code in your host city. Run the OFLC Wage Search before accepting any offer to confirm the posted rate is compliant, since wage violations can trigger early termination by your designated sponsor.
Anticipate the two-year home residency requirement early
If your home country appears on the State Department's Exchange Visitor Skills List or your program was government-funded, you may face a two-year residency requirement before changing to H-1B or a green card. Confirm your status with your designated sponsor at the DS-2019 stage, not after accepting an offer.
Align your training plan milestones with the host's data projects
Designated sponsors like CIEE or Cultural Vistas require a signed training plan that maps each phase to measurable skill development. Coordinate with your host employer's data team lead to tie milestones to actual project deliverables, reducing back-and-forth during sponsor review.
Data Contributor jobs are hiring across the US. Find yours.
Find Data Contributor JobsData Contributor J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Data Contributor role?
Current students pursuing data-related degrees should apply under the J-1 Intern category. Professionals who have completed a degree within the past 12 months typically qualify under Trainee. Both categories require a structured training plan signed by the host employer and submitted to a State Department-designated sponsor, which then issues the DS-2019 form authorizing your exchange.
Who actually sponsors the J-1 visa for a Data Contributor position?
The visa sponsor is a U.S. Department of State-designated organization, not your employer. Organizations such as IIE, CIEE, Cultural Vistas, or AIPT issue the DS-2019 and monitor program compliance throughout your stay. Your employer is the host, responsible for the day-to-day work environment and the training plan, but it does not hold sponsorship authority directly.
How do I find U.S. employers willing to host J-1 exchange visitors in data roles?
Search on Migrate Mate to identify U.S. companies that have posted or filled J-1-compatible data roles. Prioritize employers who already understand the training plan and DS-2019 process, since hosts new to J-1 requirements often delay onboarding while they coordinate with a designated sponsor for the first time.
Can a Data Contributor on a J-1 visa switch host employers mid-program?
Changing host employers mid-program requires your designated sponsor to amend or terminate the existing DS-2019 and issue a new one for the incoming host. The new host must submit a revised training plan that meets sponsor approval before you begin work. Gaps between the old and new DS-2019 issuance dates are not authorized work periods, so the transition must be planned in advance.
Does the two-year home residency requirement affect Data Contributors?
It can, if your home country is on the State Department's Exchange Visitor Skills List, if your J-1 program received funding from a government source, or if your government directed you to participate. If the requirement applies, you must return to your home country for two years before qualifying for H-1B or most immigrant visa categories. Confirm your situation with your designated sponsor when reviewing your DS-2019, not after accepting a full-time offer.
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