Data Science Engineer Jobs in USA with Visa Sponsorship
Data Science Engineer roles are among the most actively sponsored positions in the U.S., with employers regularly filing H-1B and O-1 petitions for qualified candidates. Most positions require a master's degree in a quantitative field, and specialty occupation approval rates are high given the degree-specific nature of the work. For detailed occupation requirements, see the O*NET profile.
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An exciting opportunity has arisen for a Data Science Engineer within the Fraud ADUS department. This role demands the development and implementation of ML models to address and mitigate fraud risks efficiently. The successful candidate will be instrumental in creating robust data science frameworks in collaboration with the Cyber Fraud Investigations and AI Engineering teams, aiming at weaving insightful data into the fabric of operational processes.
Key Responsibilities:
- Develop and deploy end-to-end machine learning models focused on fraud detection and risk management, ensuring models are of high precision.
- Collaborate closely with Cyber Fraud Investigations and AI Engineering teams to create data science frameworks and integrate data insights seamlessly into operational workflows.
- Lead in the automation of dashboards, feature pipelines, and model scoring outputs, working together with diverse stakeholders.
- Utilize SQL, Python/R, and big data frameworks to analyze extensive datasets effectively and generate actionable insights.
- Communicate effectively with team members and stakeholders, demonstrating strong teamwork skills to lead and influence impactful data science projects.
Must-Have Skills:
- Profound experience in Data Science and Machine Learning.
- Proficiency in Python/R and SQL.
- Strong communication and collaboration abilities.
Industry Experience:
At least 5 years of experience in the Information Technology domain, specifically within roles focused on data science, ML, and fraud detection.
Contract Type: W2
Duration: 6 Months (With the possibility of extension)
Location:
Pay Range: $65 - $68 per hour on W2
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
Job Summary:
An exciting opportunity has arisen for a Data Science Engineer within the Fraud ADUS department. This role demands the development and implementation of ML models to address and mitigate fraud risks efficiently. The successful candidate will be instrumental in creating robust data science frameworks in collaboration with the Cyber Fraud Investigations and AI Engineering teams, aiming at weaving insightful data into the fabric of operational processes.
Key Responsibilities:
- Develop and deploy end-to-end machine learning models focused on fraud detection and risk management, ensuring models are of high precision.
- Collaborate closely with Cyber Fraud Investigations and AI Engineering teams to create data science frameworks and integrate data insights seamlessly into operational workflows.
- Lead in the automation of dashboards, feature pipelines, and model scoring outputs, working together with diverse stakeholders.
- Utilize SQL, Python/R, and big data frameworks to analyze extensive datasets effectively and generate actionable insights.
- Communicate effectively with team members and stakeholders, demonstrating strong teamwork skills to lead and influence impactful data science projects.
Must-Have Skills:
- Profound experience in Data Science and Machine Learning.
- Proficiency in Python/R and SQL.
- Strong communication and collaboration abilities.
Industry Experience:
At least 5 years of experience in the Information Technology domain, specifically within roles focused on data science, ML, and fraud detection.
Contract Type: W2
Duration: 6 Months (With the possibility of extension)
Location:
Pay Range: $65 - $68 per hour on W2
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
How to Get Visa Sponsorship as a Data Science Engineer
Target companies with a proven H-1B filing history
Large tech employers and data-driven firms file hundreds of H-1B petitions annually for data science roles. Focusing your search on companies with consistent filing histories significantly improves your odds of securing sponsorship without resistance.
Lead with your quantitative degree when applying
USCIS grants H-1B specialty occupation status most readily when your degree field directly matches the role. A degree in statistics, computer science, or applied mathematics strengthens your petition before it even reaches an adjudicator's desk.
Frame your experience around specific technical domains
Employers sponsoring Data Science Engineers want candidates with depth in machine learning, NLP, or data pipeline engineering, not generalists. Tailoring your resume to a specific technical domain makes the specialty occupation argument in your petition far more defensible.
Understand the H-1B lottery timing before accepting an offer
H-1B registrations open in March for an October 1 start date. If you receive an offer outside that window, ask your employer about cap-exempt options or whether they can structure a start date around the next lottery cycle.
Ask about O-1A eligibility if you have a strong research profile
Data Science Engineers with published research, conference presentations, or high citation counts may qualify for the O-1A visa, which bypasses the H-1B lottery entirely. It's worth discussing with an immigration attorney before defaulting to H-1B.
Use Migrate Mate to find roles explicitly open to sponsorship
Many job postings don't advertise sponsorship availability, making it hard to know where to apply. Migrate Mate filters for employers actively willing to sponsor, so you're not wasting applications on companies that won't support your visa.
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Get Access To All JobsFrequently Asked Questions
Do Data Science Engineer roles qualify for H-1B sponsorship?
Yes, Data Science Engineer is a strong fit for H-1B specialty occupation classification. USCIS consistently approves petitions for this title when the employer can demonstrate the role requires a bachelor's degree or higher in a specific field such as statistics, computer science, or data science. Approval rates for data-focused engineering roles are among the highest across technical occupations.
What degree do I need for a Data Science Engineer visa sponsorship?
Most employers sponsoring Data Science Engineers require at least a bachelor's degree in computer science, statistics, mathematics, or a closely related quantitative field. A master's degree is increasingly common at larger tech firms and substantially strengthens the specialty occupation argument in your H-1B petition. Degrees in unrelated fields, even with strong work experience, can complicate approval.
Can I get sponsored as a Data Science Engineer without winning the H-1B lottery?
There are a few paths. If you're currently on OPT or STEM OPT, your employer can employ you while registrations and petitions are processed. Some employers are cap-exempt, meaning they can file H-1B petitions year-round without lottery participation. Data Science Engineers with exceptional research records may also qualify for the O-1A, which has no cap or lottery requirement.
Are smaller startups likely to sponsor Data Science Engineers?
Some do, but the willingness varies significantly. Early-stage startups often lack the legal infrastructure for H-1B sponsorship, while Series B and later-stage companies with established HR functions are more likely to support it. The most reliable approach is filtering specifically for sponsorship-willing employers. Migrate Mate is built for exactly this, showing you data science roles where employers have indicated openness to sponsoring candidates.
Does a three-year bachelor's degree qualify for Data Science Engineer sponsorship?
It depends on the evaluation. USCIS requires a U.S.-equivalent four-year bachelor's degree for H-1B specialty occupation. A three-year degree from Australia, India, or the UK may qualify if a credential evaluation agency concludes it's equivalent, often when combined with relevant postgraduate study or significant professional experience. An immigration attorney can advise whether your specific degree and experience combination is strong enough to support a petition.
What is the prevailing wage requirement for sponsored 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.
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