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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INTRODUCTION
Join Adobe as a Sr Data Science Engineer and be part of a team that is crafting the future of digital experiences. This is your chance to work on brand new projects that impact millions of users worldwide. At Adobe, you will collaborate with exceptionally dedicated colleagues, drive ambitious projects, and contribute to crafting flawless solutions. If you are passionate about data science and eager to make a significant impact, this is the role for you!
ROLE AND RESPONSIBILITIES
- Develop and implement models to solve complex problems
- Collaborate with cross-functional teams to determine project requirements and deliverables
- Use proven methodologies to ensure data accuracy and model reliability
- Compete in a dynamic environment to successfully implement innovative solutions
- Analyze and interpret large datasets to provide actionable insights
- Lead initiatives to improve the performance and scalability of our data platforms
BASIC QUALIFICATIONS
- Degree or equivalent experience with 7+ years of practical experience
- Strong expertise in statistical analysis, machine learning, and data mining
- Proficiency in programming languages such as Python, R, or Scala
- Experience with big data technologies like Hadoop, Spark, or Kafka
- Ability to strictly adhere to deadlines while maintaining high-quality standards
- Excellent communication skills and a collaborative approach
ABOUT ADOBE
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
LET’S ADOBE TOGETHER
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI USE GUIDELINES FOR INTERVIEWS:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
EXPECTED PAY RANGE
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,100 -- $236,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $163,200 - $236,400. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
STATE-SPECIFIC NOTICES:
California: Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts: Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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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.