Data Science Analyst Jobs in USA with Visa Sponsorship
Data Science Analyst roles are among the most actively sponsored positions in the U.S., with employers regularly filing H-1B visa and O-1 visa petitions for qualified candidates. Most roles require a bachelor's or master's degree in statistics, computer science, or a related quantitative field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Data Science is about breaking new ground so businesses can answer their most urgent questions. We’re pioneering Generative AI that turns structured and unstructured data into trusted, AI-ready data products. Our mission is to build new approaches to knowledge and context engineering that ground AI in accurate, governed enterprise information, and to deliver them reliably at scale. We work with technical experts and skilled engineers so our customers can get insights from data that was once out of reach.
Join us to do the best work of your career and make a profound social impact as a Data Science Analyst on our Data Science Team in Round Rock, Texas.
ROLE AND RESPONSIBILITIES
As a Data Science Analyst, you will help build the data and context foundation behind our GenAI capabilities. You will design pipelines that prepare structured and unstructured data for AI, using retrieval, embeddings, metadata and knowledge models to give AI systems the right context. You will help turn these assets into data products that are documented, monitored and supportable, with quality checks and evaluations that let them scale with confidence. You will also partner with business leaders, engineers and technical experts to deliver solutions that drive measurable decisions and outcomes.
You will:
- Work with internal and external teams to understand business partner needs and turn them into AI-ready data and context requirements
- Apply techniques from GenAI, machine learning, statistics and knowledge engineering to prepare structured and unstructured data for trusted, actionable insights
- Build and run evaluations of retrieval, context and model quality (accuracy, groundedness, latency, cost) across different GenAI use cases
- Own end-to-end delivery of data products, from build to monitoring and documentation, while building expertise in context engineering
BASIC QUALIFICATIONS
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
- Working knowledge of SQL and Python from coursework, projects or self-study
- Curiosity about GenAI, shown through classes, personal projects or hands-on exploration of tools like LLMs, prompting or retrieval
- Enjoy working with others, asking questions and learning from teammates and mentors
- An optimistic, problem-solving mindset and clear communication, with a focus on helping business partners
PREFERRED QUALIFICATIONS
- Bachelor’s degree
COMPENSATION
Dell is committed to fair and equitable compensation practices. The pay range for this position is $86,700 - $112,200.
BENEFITS AND PERKS OF WORKING AT DELL TECHNOLOGIES
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com.
APPLICATION CLOSING DATE: 11/30/2026
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
INTRODUCTION
Data Science is about breaking new ground so businesses can answer their most urgent questions. We’re pioneering Generative AI that turns structured and unstructured data into trusted, AI-ready data products. Our mission is to build new approaches to knowledge and context engineering that ground AI in accurate, governed enterprise information, and to deliver them reliably at scale. We work with technical experts and skilled engineers so our customers can get insights from data that was once out of reach.
Join us to do the best work of your career and make a profound social impact as a Data Science Analyst on our Data Science Team in Round Rock, Texas.
ROLE AND RESPONSIBILITIES
As a Data Science Analyst, you will help build the data and context foundation behind our GenAI capabilities. You will design pipelines that prepare structured and unstructured data for AI, using retrieval, embeddings, metadata and knowledge models to give AI systems the right context. You will help turn these assets into data products that are documented, monitored and supportable, with quality checks and evaluations that let them scale with confidence. You will also partner with business leaders, engineers and technical experts to deliver solutions that drive measurable decisions and outcomes.
You will:
- Work with internal and external teams to understand business partner needs and turn them into AI-ready data and context requirements
- Apply techniques from GenAI, machine learning, statistics and knowledge engineering to prepare structured and unstructured data for trusted, actionable insights
- Build and run evaluations of retrieval, context and model quality (accuracy, groundedness, latency, cost) across different GenAI use cases
- Own end-to-end delivery of data products, from build to monitoring and documentation, while building expertise in context engineering
BASIC QUALIFICATIONS
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
- Working knowledge of SQL and Python from coursework, projects or self-study
- Curiosity about GenAI, shown through classes, personal projects or hands-on exploration of tools like LLMs, prompting or retrieval
- Enjoy working with others, asking questions and learning from teammates and mentors
- An optimistic, problem-solving mindset and clear communication, with a focus on helping business partners
PREFERRED QUALIFICATIONS
- Bachelor’s degree
COMPENSATION
Dell is committed to fair and equitable compensation practices. The pay range for this position is $86,700 - $112,200.
BENEFITS AND PERKS OF WORKING AT DELL TECHNOLOGIES
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com.
APPLICATION CLOSING DATE: 11/30/2026
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Data Science Analyst
Target employers with a strong H-1B filing history
Companies that have sponsored Data Science Analysts before are far more likely to do it again. Look for employers with consistent OFLC disclosure data showing approved LCAs for data science or analytics roles in recent fiscal years.
Lead with your quantitative degree, not just your tools
H-1B specialty occupation approval hinges on your degree field matching the role. A degree in statistics, applied mathematics, computer science, or economics is a stronger foundation than listing Python and SQL skills alone.
Understand that OPT gives you time, but not much
If you're on F-1 OPT, you typically have 12 months, or 36 on STEM OPT, before you need H-1B status. Use that window strategically. Missing the April lottery means waiting a full year for the next one.
Frame your work in terms of business impact, not just methods
Sponsors and visa officers both want to see that your role is essential, not interchangeable. Quantify outcomes wherever possible: models deployed, revenue influenced, decisions improved. This strengthens both your application and your petition.
Ask about sponsorship policy early, but ask it the right way
Raise sponsorship during the offer stage, not the first interview. Ask whether the company has sponsored roles like yours before, rather than leading with visa uncertainty. Framing it as process familiarity signals confidence, not risk.
Consider employers in sectors with high approval rates
Technology, financial services, and consulting firms consistently show high H-1B approval rates for data science roles. These industries have established immigration infrastructure and legal teams familiar with specialty occupation petitions for analytical positions.
Frequently Asked Questions
Does a Data Science Analyst role qualify as an H-1B specialty occupation?
Yes, in most cases. USCIS generally treats data science and analytics roles as specialty occupations when the position requires at least a bachelor's degree in a specific quantitative field, such as statistics, computer science, mathematics, or data science. The job description matters. Roles that accept any degree, regardless of field, face higher denial risk, so a tightly written job posting that specifies the required field of study strengthens the petition considerably.
Do I need a master's degree to get sponsored as a Data Science Analyst?
No, but it helps. A bachelor's degree in a directly relevant quantitative field, such as statistics, computer science, or applied mathematics, is typically sufficient for H-1B visa eligibility. A master's degree gives you two advantages: it makes the specialty occupation argument more straightforward, and it qualifies you for the advanced degree cap pool, which has historically offered better H-1B lottery selection odds than the general cap.
What H-1B approval rates should I expect for data science roles?
H-1B approval rates for data science and analytics positions have generally been above 85% in recent fiscal years when filed by established sponsors with strong job descriptions. Denials are more common for roles at smaller employers with weak specialty occupation documentation or where the degree requirement isn't clearly specified. The lottery remains the bigger obstacle, not the approval itself.
Can I find Data Science Analyst jobs that are open to sponsoring H-1B or OPT candidates?
Yes. Migrate Mate filters sponsorship-open Data Science Analyst roles specifically, so you're not sifting through postings that won't consider visa candidates. Employers listed there have either sponsored before or have indicated openness to sponsorship, which cuts out a significant amount of wasted application effort for international candidates.
Can a foreign degree in data science or a related field support an H-1B petition?
Yes, foreign degrees are accepted for H-1B purposes, but they need to be evaluated for U.S. equivalency. A three-year bachelor's degree from certain countries may or may not be accepted as equivalent to a U.S. four-year degree, depending on the evaluator and the petition. Your employer's immigration attorney will typically arrange a credential evaluation through a recognized service. Degrees from Indian universities in computer science or statistics are among the most commonly evaluated and generally accepted.
What is the prevailing wage requirement for sponsored Data Science Analyst 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.