TN Visa Data Science Manager Jobs
Data Science Manager roles qualify for TN visa sponsorship under the USMCA treaty's Systems Analyst category, which covers data strategy, modeling oversight, and analytics team leadership. Canadian citizens get same-day border approval; Mexican citizens use the consular process. No lottery, no cap waiting period for Canadians.
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INTRODUCTION
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
Growth Data Science
The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams.
WHAT YOU’LL DO
Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership.
Responsibilities
- Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
- Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
- Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.
- Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
- Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team.
- Contribute to broad data science initiatives as a member of Stripe’s data science management team.
WHO YOU ARE
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
MINIMUM REQUIREMENTS
- A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
- You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
- You have demonstrated expertise in designing metrics and guiding business decisions with data.
- You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
- You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
- You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
- You have clear and persuasive communication skills in writing and verbally.
- You thrive on a high level of autonomy and responsibility.
- You foster a healthy, inclusive, challenging, and supportive work environment.
PREFERRED REQUIREMENTS
- You are comfortable working with geographically distributed teams.
- Expertise in time series forecasting, predictive modeling, or optimization.
- Expertise in data design and building scalable data architectures.

INTRODUCTION
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
Growth Data Science
The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams.
WHAT YOU’LL DO
Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership.
Responsibilities
- Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
- Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
- Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.
- Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
- Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team.
- Contribute to broad data science initiatives as a member of Stripe’s data science management team.
WHO YOU ARE
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
MINIMUM REQUIREMENTS
- A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
- You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
- You have demonstrated expertise in designing metrics and guiding business decisions with data.
- You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
- You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
- You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
- You have clear and persuasive communication skills in writing and verbally.
- You thrive on a high level of autonomy and responsibility.
- You foster a healthy, inclusive, challenging, and supportive work environment.
PREFERRED REQUIREMENTS
- You are comfortable working with geographically distributed teams.
- Expertise in time series forecasting, predictive modeling, or optimization.
- Expertise in data design and building scalable data architectures.
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a Data Science Manager
Align your credentials to Systems Analyst
TN visa sponsorship for Data Science Manager roles runs through the Systems Analyst category. Make sure your degree and job offer letter explicitly reference systems analysis, data systems design, or computational modeling, not just management titles.
Target employers with recent visa filing experience
Search Migrate Mate's database of recent visa filings to find companies experienced with visa sponsorship for professional roles. These employers have demonstrated familiarity with work visa processes and will be better equipped to support your TN visa application and understand the documentation requirements.
Request a TN-specific offer letter before crossing
Canadian professionals can self-petition at the port of entry, but your offer letter must detail the role's analytical and data systems functions. A letter that reads as pure people management without technical duties creates unnecessary CBP scrutiny.
Clarify managerial scope during the offer stage
CBP officers sometimes question whether a Manager title is supervisory rather than technical. Get your offer letter to quantify that most of your time involves data architecture decisions, model evaluation, and systems analysis, not just team administration.
Use Migrate Mate to find verified sponsoring employers
Filtering for companies willing to sponsor TN visas for data leadership roles takes time manually. Migrate Mate identifies employers with recent visa filings who have experience supporting work visa sponsorship, so you can focus outreach on companies already equipped to handle your TN application process.
Prepare credential equivalency documentation for Mexican applicants
Mexican nationals apply at a U.S. consulate and face closer credential review than Canadians at the border. Have a degree equivalency evaluation ready if your Mexican university credential doesn't map directly to a U.S. bachelor's in computer science or a related field.
Data Science Manager jobs are hiring across the US. Find yours.
Find Data Science Manager JobsData Science Manager TN Visa: Frequently Asked Questions
Does a Data Science Manager role actually qualify for TN visa status?
Yes, but the classification matters. Data Science Manager roles qualify under the TN Systems Analyst category, which covers professionals who design and oversee data systems, analytics pipelines, and modeling infrastructure. The role must be substantively technical, not purely supervisory. Your offer letter should describe the data systems design and analytical decision-making functions you'll perform, not just the team you'll manage.
How does TN visa sponsorship compare to H-1B for Data Science Manager roles?
TN has no annual lottery and no cap for Canadian citizens, so you can start work as soon as CBP approves your petition, sometimes the same day you cross the border. H-1B requires entering a lottery with roughly 25 to 30 percent selection odds and a wait of up to a year before you can begin. For Canadian data professionals with a qualifying offer, TN is faster and more predictable. Mexican TN applicants use consular processing, which adds time but still avoids the H-1B lottery entirely.
What does a TN-sponsoring employer actually need to do for a Data Science Manager hire?
Unlike H-1B, TN does not require the employer to file a petition with USCIS in advance for Canadian nationals. The employer provides a detailed support letter describing the role's data science management functions, your qualifications, and the employment terms. You present that letter at the U.S. border or port of entry. For Mexican nationals, the employer's support letter accompanies your application at a U.S. consulate. No I-129 filing, no PERM, and no prevailing wage determinations are required for TN.
Where can I find Data Science Manager jobs that already support TN visa sponsorship?
Migrate Mate lists employers with recent visa filings, so you're not cold-pitching companies inexperienced with work visa sponsorship. Filtering by role and visa type narrows your search to organizations familiar with visa-sponsored hiring and prepared to provide the support letter your employer will need to present at the U.S. port of entry or consulate.
Can I switch employers while on TN status as a Data Science Manager?
Yes. TN status is employer-specific, so you need a new TN approval before starting with a different company. Canadian professionals can get the new TN approved at the border with a new offer letter from the incoming employer. Mexican nationals go back through consular processing. There is no grace period built into TN the way H-1B has a 60-day window, so timing your transition carefully around your start date matters.
See which Data Science Manager employers are hiring and sponsoring visas right now.
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