H-1B1 Singapore Visa Data Science Manager Jobs
Data Science Manager roles qualify for H-1B1 Singapore visa sponsorship because they require a bachelor's degree or higher in a directly related field, satisfying the specialty occupation standard. Singapore nationals skip the H-1B lottery and the 5,400-visa annual cap rarely fills, so your timeline to a U.S. offer depends on employer readiness, not luck.
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Get Access To All JobsINTRODUCTION
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 Visa Sponsorship as a Data Science Manager
Verify your degree maps to the role
H-1B1 visa requires your degree field to directly relate to data science or quantitative management. A degree in statistics, computer science, or applied mathematics clears this bar. An MBA alone typically doesn't, so gather transcripts that show your technical coursework before applying.
Target employers with active LCA filings
Use Migrate Mate to filter for companies that have filed Labor Condition Applications for data science leadership roles. Employers already familiar with LCA certification for managerial data positions move faster and make fewer filing errors during your H-1B1 process.
Benchmark your offer against prevailing wage levels
Your employer must certify your salary meets the DOL prevailing wage for Data Science Manager in your work location. Use the OFLC Wage Search before negotiating your offer so you can flag underpayment risks early rather than after the LCA is filed.
Distinguish manager-level duties in your job description
H-1B1 consular officers scrutinize whether a role is genuinely specialty occupation. A job description that lists strategic modeling oversight, team leadership, and cross-functional data governance reads more clearly as qualifying than one that blends IC and managerial duties ambiguously.
Clarify who handles the LCA filing with your employer
Unlike H-1B, H-1B1 does not require a USCIS petition, but your employer still files the LCA with DOL before your consular appointment. Confirm early whether their HR team or outside counsel owns this step so nothing stalls your interview scheduling.
Prepare for consular intent questions specific to this role
Singapore nationals applying for H-1B1 are interviewed at the U.S. Embassy in Singapore. Officers routinely ask how a Data Science Manager role ties to a degree-level field. Prepare a concise answer linking your technical credentials to the position's quantitative requirements.
Frequently Asked Questions
Does a Data Science Manager role qualify as a specialty occupation for H-1B1 Singapore?
Yes, provided the role requires at least a bachelor's degree in a directly related field such as statistics, computer science, data engineering, or a quantitative discipline. Roles that blend general management with technical modeling responsibilities typically qualify, but the employer's job description must make the degree requirement explicit. Generalist management titles without a technical foundation can draw scrutiny at the consulate.
How does H-1B1 Singapore compare to H-1B for a Data Science Manager pursuing U.S. employment?
H-1B1 Singapore has no lottery and no USCIS petition requirement, which removes the single biggest uncertainty from the H-1B process. The annual cap of 5,400 visas for Singapore nationals has never been exhausted, so approval depends on your employer's LCA certification and your consular interview rather than a random draw. The tradeoff is that H-1B1 does not confer dual intent, so demonstrating nonimmigrant intent at the interview matters.
How do I find employers who have sponsored H-1B1 Singapore visas for data science leadership roles?
Migrate Mate lets you search for employers with verified LCA filing history filtered by occupation and visa type, so you can identify companies that have already navigated the H-1B1 process for data science roles. This is more reliable than relying on employer self-reporting because LCA disclosure data comes directly from DOL and reflects actual filing activity rather than stated intentions.
What does the H-1B1 application timeline look like for a Data Science Manager hired from Singapore?
Once you have a signed offer, your employer files the LCA with DOL, which typically certifies within seven business days. You then complete the DS-160, pay the visa fee, and schedule your interview at the U.S. Embassy in Singapore. From offer acceptance to consular appointment, the process commonly runs four to eight weeks, depending on embassy scheduling availability and how quickly your employer completes the LCA.
Can a Data Science Manager on H-1B1 Singapore switch employers after arriving in the United States?
Yes, but H-1B1 does not carry H-1B portability provisions. Your status is tied to your sponsoring employer, so changing jobs requires your new employer to file a fresh LCA and you must either change status through USCIS or depart and re-enter on a new H-1B1 issued at the consulate. Planning an employer transition well in advance of your visa's expiration avoids gaps in work authorization. Migrate Mate can help you identify new sponsors before you initiate a change.
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