H-1B Visa Data Science Analyst Jobs
Data Science Analyst roles typically qualify as H-1B visa specialty occupations, requiring at least a bachelor's degree in data science, statistics, computer science, or a closely related field. Sponsoring employers file a Labor Condition Application with DOL and an I-129 petition with USCIS, granting up to three years of initial status.
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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.
See all H-1B Visa Data Science Analyst Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Science Analyst
Map your degree to the LCA job title
Your degree field must connect directly to the Data Science Analyst duties in the LCA. If your degree is in a adjacent field like economics or applied math, document how your coursework covers statistical modeling and data analysis to strengthen the specialty occupation argument.
Look up prevailing wages before negotiating
Use the OFLC Wage Search to find the Level I through Level IV prevailing wage for your SOC code and work location. Your offer must meet or exceed the certified wage level, so knowing the floor before salary talks protects you from an LCA that can't be filed.
Find sponsors through Migrate Mate's verified employer data
Search Data Science Analyst roles on Migrate Mate, which surfaces employers with verified H-1B LCA filing history by role and location. This cuts out companies that express interest but have no track record of sponsoring this specific occupation.
Confirm each worksite needs its own LCA
If you'll work at client sites or rotate between offices, each distinct worksite address requires a separately certified LCA before you start work there. Flag this with your employer early so DOL filings don't lag behind your actual schedule.
Use O*NET to anchor your specialty occupation evidence
The O*NET occupation profile for Data Scientists and related analyst roles lists the specific degree fields and analytical tasks USCIS expects. Referencing O*NET in your employer's support letter ties the job duties directly to the specialty occupation definition.
File premium processing if your OPT end date is close
If your OPT or STEM OPT is expiring within a few months of the cap selection result, ask your employer about upgrading to premium processing through USCIS. Standard adjudication timelines can outlast your remaining work authorization, creating a gap you can't work through.
H-1B Visa Data Science Analyst: Frequently Asked Questions
Does a Data Science Analyst role qualify as an H-1B specialty occupation?
Yes, Data Science Analyst positions typically qualify. USCIS defines specialty occupation as a role requiring at least a bachelor's degree in a directly related field. Because data science analysis requires specific training in statistics, machine learning, or computer science, the role satisfies that standard. The employer must document the degree requirement in the LCA and I-129 support letter.
How do I find employers who actively sponsor H-1B visas for Data Science Analyst roles?
Search Migrate Mate to browse Data Science Analyst openings at employers with verified H-1B LCA filing history. This shows you which companies have already navigated DOL and USCIS filings for this specific occupation, so you're not hoping a company will sponsor for the first time on your behalf.
What happens to my H-1B status if my Data Science Analyst role changes significantly?
A material change in job duties, worksite, or employer typically requires filing an amended I-129 petition with USCIS before the change takes effect. If your role shifts from pure analysis to management or a different SOC classification, your employer must also file a new LCA to reflect the updated prevailing wage and duties.
Can I transfer my H-1B to a new employer mid-project?
Yes. Under H-1B portability, your new employer files an I-129 petition with USCIS and you can start working for them once the petition is received, without waiting for approval, as long as you're maintaining valid H-1B status. Your total authorized period still counts toward the six-year maximum across both employers.
What degree fields support an H-1B petition for a Data Science Analyst position?
Degrees in data science, statistics, computer science, applied mathematics, information systems, or quantitative economics are well-established fits for this role. Degrees in adjacent fields can work if your coursework covers data modeling, statistical inference, or programming. USCIS scrutinizes the specific nexus between your degree field and the job duties, not just the degree level.