Senior Staff Data Scientist Jobs in USA with Visa Sponsorship
Senior Staff Data Scientists are among the most consistently sponsored roles in tech, with H-1B visa approvals running well above the field average. Employers filing LCAs for this title span cloud platforms, financial services, and health tech, and many petition at the senior level without lottery concerns via cap-exempt routes. For detailed occupation requirements, see the O*NET profile.
Find Senior Staff Data Scientist JobsOverview
Showing 5 of 4,060+ Senior Staff Data Scientist jobs
See all 4,060+ Senior Staff Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Staff Data Scientist roles.
Get Access To All JobsAbout Airwallex
Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.
How You'll Make Impact
You’ll shape the next phase of Airwallex’s growth by building data science systems that improve how we acquire, activate, engage, retain, and expand customers globally.
- Design, deploy, and iterate on predictive models, personalization and recommendation systems, LLM-powered applications, incentive optimization frameworks, and causal inference models that drive measurable business outcomes.
- Partner with Growth, Marketing, Product, Sales, Engineering, and other cross-functional teams to turn data and AI into clear recommendations, stronger investment decisions, and effective go-to-market strategies.
- Measure the causal impact of marketing and growth initiatives, identify what’s working, and translate those findings into action.
- Raise the technical bar for the data science team through hands-on leadership, mentorship, and a clear vision for longer-term direction.
You’ll be based in Seattle and work from the office three days a week.
Essentials
What we're looking for
- 7+ years of industry experience and an advanced degree, such as a PhD or MS, in a quantitative field such as Statistics, Engineering, the Sciences, Computer Science, or Economics.
- Expert knowledge of machine learning and statistical modelling for data-driven growth strategy.
- Hands-on experience building, deploying, and maintaining machine learning models in production-grade systems, including cloud-based services and real-time or batch pipelines.
- Strong experience with data querying languages such as SQL and scripting languages such as Python.
- Experience applying machine learning and statistical models to measure the causal impact of marketing or growth initiatives.
- Strong experience in AI harness and building AI agents.
Preferred
- Experience with schema design and dimensional data modelling.
- Experience communicating analysis and recommendations to leadership and cross-functional teams to influence strategy.
- Experience in technology, financial services, or a high-growth environment.
- Experience providing technical mentorship on machine learning and experimentation in an industry setting.
You'll thrive here if
- You're comfortable owning the roadmap yourself.
- You own the outcome and you don't wait for permission to fix what's broken.
- You're comfortable making decisions with incomplete information and moving quickly anyway.
- You're not precious about your ideas. You push hard for what you believe in, but you pivot fast when the data says otherwise.
- You connect dots across functions and hold the big picture without losing grip on the details.
Learn More About Your Team
Data Science at Airwallex is evolving from individual analyses and standalone models into scalable systems of decision and action. We bring together two complementary capabilities: DS Analytics, which improves decision quality and reduces decision latency, and DS Algorithm, which directly optimizes product and business outcomes in real time. You’ll build systems of decision that help teams understand what changed, determine what to do next, and learn whether the action worked. This means owning the AI analytics harness around the analysis—including semantic layers, context retrieval, evaluation infrastructure, validation gates, and governance—so decisions remain reliable, contextualized, and trustworthy at scale. You’ll also build systems of action that use machine learning and AI to shape product behavior, ranking, pricing, risk, allocation, and customer experiences. The work extends beyond training models to designing how intelligent systems reason, use tools, operate within guardrails, execute workflows, and measure their incremental impact. As AI makes ad hoc analysis increasingly accessible, the remaining advantage is scale, scientific method, and rigor. You’ll structure ambiguous problems, design experiments, identify confounding factors, challenge misleading conclusions, and build production systems that produce reliable outcomes repeatedly—not just one-off answers. The work is moving up the stack: from analysis to system, from model to harness, and from answering a question once to building something that answers it correctly over time. If you want to create data science systems that compound decision quality and turn intelligence into measurable action, this is where that work happens.
Applicant Safety Policy: Fraud and Third-Party Recruiters
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
Equal opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Compensation Range: $250K - $299K
About Airwallex
Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.
How You'll Make Impact
You’ll shape the next phase of Airwallex’s growth by building data science systems that improve how we acquire, activate, engage, retain, and expand customers globally.
- Design, deploy, and iterate on predictive models, personalization and recommendation systems, LLM-powered applications, incentive optimization frameworks, and causal inference models that drive measurable business outcomes.
- Partner with Growth, Marketing, Product, Sales, Engineering, and other cross-functional teams to turn data and AI into clear recommendations, stronger investment decisions, and effective go-to-market strategies.
- Measure the causal impact of marketing and growth initiatives, identify what’s working, and translate those findings into action.
- Raise the technical bar for the data science team through hands-on leadership, mentorship, and a clear vision for longer-term direction.
You’ll be based in Seattle and work from the office three days a week.
Essentials
What we're looking for
- 7+ years of industry experience and an advanced degree, such as a PhD or MS, in a quantitative field such as Statistics, Engineering, the Sciences, Computer Science, or Economics.
- Expert knowledge of machine learning and statistical modelling for data-driven growth strategy.
- Hands-on experience building, deploying, and maintaining machine learning models in production-grade systems, including cloud-based services and real-time or batch pipelines.
- Strong experience with data querying languages such as SQL and scripting languages such as Python.
- Experience applying machine learning and statistical models to measure the causal impact of marketing or growth initiatives.
- Strong experience in AI harness and building AI agents.
Preferred
- Experience with schema design and dimensional data modelling.
- Experience communicating analysis and recommendations to leadership and cross-functional teams to influence strategy.
- Experience in technology, financial services, or a high-growth environment.
- Experience providing technical mentorship on machine learning and experimentation in an industry setting.
You'll thrive here if
- You're comfortable owning the roadmap yourself.
- You own the outcome and you don't wait for permission to fix what's broken.
- You're comfortable making decisions with incomplete information and moving quickly anyway.
- You're not precious about your ideas. You push hard for what you believe in, but you pivot fast when the data says otherwise.
- You connect dots across functions and hold the big picture without losing grip on the details.
Learn More About Your Team
Data Science at Airwallex is evolving from individual analyses and standalone models into scalable systems of decision and action. We bring together two complementary capabilities: DS Analytics, which improves decision quality and reduces decision latency, and DS Algorithm, which directly optimizes product and business outcomes in real time. You’ll build systems of decision that help teams understand what changed, determine what to do next, and learn whether the action worked. This means owning the AI analytics harness around the analysis—including semantic layers, context retrieval, evaluation infrastructure, validation gates, and governance—so decisions remain reliable, contextualized, and trustworthy at scale. You’ll also build systems of action that use machine learning and AI to shape product behavior, ranking, pricing, risk, allocation, and customer experiences. The work extends beyond training models to designing how intelligent systems reason, use tools, operate within guardrails, execute workflows, and measure their incremental impact. As AI makes ad hoc analysis increasingly accessible, the remaining advantage is scale, scientific method, and rigor. You’ll structure ambiguous problems, design experiments, identify confounding factors, challenge misleading conclusions, and build production systems that produce reliable outcomes repeatedly—not just one-off answers. The work is moving up the stack: from analysis to system, from model to harness, and from answering a question once to building something that answers it correctly over time. If you want to create data science systems that compound decision quality and turn intelligence into measurable action, this is where that work happens.
Applicant Safety Policy: Fraud and Third-Party Recruiters
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
Equal opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Compensation Range: $250K - $299K
See all 4,060+ Senior Staff Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Staff Data Scientist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Staff Data Scientist
Target cap-exempt employers first
Universities, nonprofit research institutions, and affiliated teaching hospitals are exempt from the H-1B lottery. Senior Staff Data Scientists hired there skip the annual cap entirely, which eliminates the biggest uncertainty in the sponsorship timeline.
Align your degree to the role explicitly
USCIS requires a specialty occupation match. Statistics, computer science, mathematics, and applied ML degrees map cleanly. If your degree is in a different field, document how your coursework and industry experience directly support the data science function.
Ask about O-1A eligibility if you have a strong publication or patent record
Senior Staff scientists with published research, patents, or awards in machine learning or AI may qualify for O-1A extraordinary ability status. This visa has no lottery, no annual cap, and no nationality restrictions, making it a strong parallel path.
Prioritize employers with an established LCA filing history
Companies that have consistently filed Labor Condition Applications for data science roles already have internal sponsorship infrastructure. This shortens the process significantly compared to employers filing for the first time on your behalf.
Use Migrate Mate to filter for roles that explicitly support sponsorship
Filtering for Senior Staff Data Scientist roles with confirmed sponsorship on Migrate Mate removes the guesswork of cold applications. You can focus outreach on employers already prepared to file, which saves weeks in the job search process.
Frequently Asked Questions
Is Senior Staff Data Scientist a specialty occupation for H-1B purposes?
Yes. Senior Staff Data Scientist consistently meets the USCIS specialty occupation standard because the role normally requires at least a bachelor's degree in a specific technical field such as statistics, computer science, or applied mathematics. USCIS has approved thousands of H-1B visa petitions for data science titles at the senior level, and approval rates for this category run well above the overall H-1B average.
Which visa types do employers most commonly use to sponsor Senior Staff Data Scientists?
H-1B is the most common path, filed by employers after winning the annual lottery or through a cap-exempt institution. O-1A is increasingly used for scientists with strong research or publication records. Australians may qualify for the E-3 visa, which has no lottery. Canadians and Mexicans may qualify under the TN visa classification for computer systems analysts, though the TN match requires careful documentation at the senior staff level.
Does a three-year bachelor's degree qualify for H-1B sponsorship in this role?
It can, but it requires additional documentation. USCIS accepts three-year degrees from countries like Australia or India when combined with a credential evaluation confirming U.S. equivalency and relevant post-degree experience. Many employers working with senior hires have navigated this before, but you should confirm the employer's immigration counsel is familiar with three-year degree petitions before relying on this path.
How long does H-1B sponsorship typically take for this role?
Standard processing runs three to six months after USCIS receives the petition. Premium processing reduces USCIS adjudication to 15 business days for an additional fee, which most employers sponsoring senior technical hires will pay. Add two to four weeks for the employer to prepare the LCA and petition package before filing. If you're starting from outside the U.S., add consular appointment wait times on top of that.
Where can I find Senior Staff Data Scientist jobs that already sponsor visas?
Migrate Mate lists Senior Staff Data Scientist roles filtered specifically for visa sponsorship, so you're not sifting through postings that exclude international candidates. Employers on Migrate Mate have either confirmed sponsorship willingness or have an active LCA filing history for comparable roles, which means the outreach you do is far more likely to result in a real sponsorship conversation.
What is the prevailing wage requirement for sponsored Senior Staff Data Scientist jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.