Senior Data Science Engineer Jobs in USA with Visa Sponsorship
Senior Data Science Engineer roles are among the most actively sponsored positions in the U.S. tech industry. Employers routinely file H-1B visa petitions for this title, and the specialty occupation requirement is straightforward to satisfy with a degree in computer science, statistics, or a related quantitative field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of.
As the Senior Director, Data Science and AI/ML, you will be responsible for building the Warehouse AI strategy for GXO and then design and deploy AI effectively across the GXO network of warehouses.
Pay, benefits and more
We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.
What you’ll do on a typical day:
- Builds the warehouse AI strategy, including Generative AI Language Model and business use cases.
- Educates broadly across the company on how to build, manage and leverage warehouse AI.
- Collates GXO’s existing use cases of AI for warehouse automation.
- Partners with the regions to explore current usage and capabilities.
- Documents GXO AI library for internal and external stakeholders.
- Builds a global AI framework for warehouse automation.
- Maintains up-to-date records of AI in warehouse automation.
- Develops awareness of current AI service delivery models.
- Identifies future AI use case opportunities for warehouse automation.
- Partners with key leaders to explore viability of AI use cases.
- Builds business cases to propose solutions to increase warehouse automation via AI usage.
- Partners with the Automation Strategy team to define AI development, including translation of AI to P&L.
- Builds business cases around AI in Automation, conducting financial modeling scenarios.
- Partners with regional deployment managers to deploy warehouse AI solutions.
- Provides ad-hoc support as required.
- Partners with IT AI leaders to maximize use cases across the organization.
- Builds governance frameworks around AI usage.
- Develops capabilities across different teams on AI in warehouse automation.
BASIC QUALIFICATIONS
At a minimum, you’ll need:
- Bachelor’s degree or equivalent related work or military experience
- 7 years of experience using or implementing AI in operations
- Operational excellence training or background
- Extensive strategic leadership experience in warehouse automation
PREFERRED QUALIFICATIONS
It’d be great if you also have:
- 10+ years of AI experience within Operations
- MBA or MS
- Excellent verbal/written communication, presentation and listening skills
- Passion for innovation
- Strong problem-solving skills
SUMMARY
GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work.
We are proud to be an Equal Opportunity employer including Disabled/Veterans.
GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.
INTRODUCTION
At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of.
As the Senior Director, Data Science and AI/ML, you will be responsible for building the Warehouse AI strategy for GXO and then design and deploy AI effectively across the GXO network of warehouses.
Pay, benefits and more
We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.
What you’ll do on a typical day:
- Builds the warehouse AI strategy, including Generative AI Language Model and business use cases.
- Educates broadly across the company on how to build, manage and leverage warehouse AI.
- Collates GXO’s existing use cases of AI for warehouse automation.
- Partners with the regions to explore current usage and capabilities.
- Documents GXO AI library for internal and external stakeholders.
- Builds a global AI framework for warehouse automation.
- Maintains up-to-date records of AI in warehouse automation.
- Develops awareness of current AI service delivery models.
- Identifies future AI use case opportunities for warehouse automation.
- Partners with key leaders to explore viability of AI use cases.
- Builds business cases to propose solutions to increase warehouse automation via AI usage.
- Partners with the Automation Strategy team to define AI development, including translation of AI to P&L.
- Builds business cases around AI in Automation, conducting financial modeling scenarios.
- Partners with regional deployment managers to deploy warehouse AI solutions.
- Provides ad-hoc support as required.
- Partners with IT AI leaders to maximize use cases across the organization.
- Builds governance frameworks around AI usage.
- Develops capabilities across different teams on AI in warehouse automation.
BASIC QUALIFICATIONS
At a minimum, you’ll need:
- Bachelor’s degree or equivalent related work or military experience
- 7 years of experience using or implementing AI in operations
- Operational excellence training or background
- Extensive strategic leadership experience in warehouse automation
PREFERRED QUALIFICATIONS
It’d be great if you also have:
- 10+ years of AI experience within Operations
- MBA or MS
- Excellent verbal/written communication, presentation and listening skills
- Passion for innovation
- Strong problem-solving skills
SUMMARY
GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work.
We are proud to be an Equal Opportunity employer including Disabled/Veterans.
GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.
See all 4,659+ Senior Data Science Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Data Science Engineer
Lead with your technical stack, not just your title
Sponsors evaluate Senior Data Science Engineers on specific tools: PyTorch, TensorFlow, Spark, and SQL pipelines carry more weight than a generic resume. Listing exact frameworks signals you can contribute immediately and reduces employer hesitation around sponsorship cost.
Target companies with an established H-1B track record
Large tech firms and data-intensive companies in finance, healthcare, and logistics file H-1B petitions annually for this role. Focusing your search on employers with prior sponsorship history dramatically improves your odds of receiving and successfully completing an offer with visa support.
Clarify your OPT or current status early in conversations
Employers sponsor more readily when they understand your timeline. If you have STEM OPT remaining, say so upfront. It shows the employer has up to three years before H-1B sponsorship becomes necessary, which lowers their perceived risk and urgency considerably.
Quantify business impact, not just model accuracy
Hiring managers sponsoring senior roles want proof of ROI. Frame your experience around revenue protected, cost reduced, or decisions improved by your models. Concrete business outcomes make sponsorship feel like an investment with a clear return, not an administrative burden.
Understand the specialty occupation standard for your exact role
H-1B approval hinges on demonstrating your position requires a specific bachelor's degree or higher. For Senior Data Science Engineers, a degree in statistics, computer science, mathematics, or data science satisfies this cleanly. Roles blending general management duties can face added scrutiny from USCIS.
Use Migrate Mate to find roles that explicitly sponsor
Filtering for verified sponsoring employers saves weeks of guesswork. Migrate Mate surfaces Senior Data Science Engineer roles from companies actively willing to file H-1B or other work visa petitions, so you spend your time applying where sponsorship is already on the table.
Frequently Asked Questions
Does a Senior Data Science Engineer role qualify as an H-1B specialty occupation?
Yes, consistently. USCIS treats Senior Data Science Engineer as a specialty occupation because the position normally requires a bachelor's degree or higher in a specific technical field such as computer science, statistics, applied mathematics, or data science. The direct relationship between the degree field and the job duties is well-established, which means RFEs on specialty occupation grounds are less common for this title than for more generalist roles.
What degree do I need for an employer to sponsor my H-1B as a Senior Data Science Engineer?
A bachelor's degree or higher in computer science, statistics, mathematics, data science, or a closely related quantitative field satisfies the H-1B visa educational requirement for this role. Degrees in adjacent fields like electrical engineering or operations research can also qualify if your coursework covered statistical modeling or machine learning. A three-year Australian or Indian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree, though some USCIS adjudicators may request a credential evaluation for clarity.
Which visa types are realistic for Senior Data Science Engineers seeking U.S. sponsorship?
The H-1B is the most common path and requires winning the annual lottery, which selects roughly 25% of registrations. Australians can pursue the E-3 visa, which has no lottery and processes faster. Canadians and Mexicans qualify for the TN visa under the USMCA. Candidates with a demonstrated record of exceptional research or industry impact may qualify for the O-1A, which is cap-exempt and bypasses the lottery entirely. Migrate Mate lists roles by visa type so you can filter for employers open to your specific status.
Do large tech companies sponsor Senior Data Science Engineers more reliably than startups?
Generally, yes. Companies like Amazon, Google, Microsoft, and Meta have dedicated immigration teams, established relationships with immigration law firms, and predictable annual H-1B filing cycles. Startups can and do sponsor, but they face tighter cash constraints and sometimes lack internal expertise to manage the process. Mid-size companies with 500 or more employees and an existing engineering org tend to be the most reliable sponsors outside of major tech firms, since they have legal infrastructure without the bureaucracy that slows larger organizations.
Can I switch employers between the H-1B lottery and my start date without losing my status?
If your H-1B was approved and you're already working in H-1B status, you can transfer to a new employer under H-1B portability once the new employer files a transfer petition. However, if you won the lottery but your start date hasn't arrived yet, you're not yet in H-1B status and cannot use portability. In that scenario, switching employers requires the new employer to either file a cap-exempt petition if they qualify, or register you in the next lottery cycle.
What is the prevailing wage requirement for sponsored Senior Data Science Engineer 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.