DataVisor Visa Sponsorship Jobs USA
DataVisor is a fraud detection and AI-driven financial security company with a track record of sponsoring skilled workers in the U.S. across both work visas and permanent residency pathways. For international candidates in technology and software roles, DataVisor represents a genuine sponsorship opportunity with experience navigating multiple visa categories.
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Get Access To All JobsINTRODUCTION
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
ROLE SUMMARY
We are seeking a hands-on Data Scientist to serve as the "Architect of Efficacy" for our AI-Powered Fraud and AML Solutions suite. In this role, you will move beyond simple analysis to build the mathematical core of our product. You will design pre-built detection strategies that provide immediate protection for new clients, solving the industry-wide "Cold Start" problem. Working at the intersection of research and product, you will collaborate closely with our Product, Strategy, Data Science, Delivery, and Engineering teams to translate complex fraud patterns into scalable, automated defenses.
Responsibilities
- Develop Pre-Built Detection Models: Design, back-test, and optimize statistical baselines and machine learning strategies for our core solution modules, including Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding.
- Mine the Global Consortium: Analyze large-scale, cross-industry data within our global intelligence network to identify high-risk device fingerprints and patterns of organized fraud, transforming these insights into features that can be deployed across all clients.
- Architect "Cold Start" Logic: Create generalized scoring models that deliver immediate value to new clients, ensuring they are protected against known threats even before their historical data is fully integrated.
- Validate AI Agent Logic: Serve as the expert "Human-in-the-Loop" for our AI-driven strategy engine, rigorously testing and validating automated fraud detection logic to ensure safety, transparency, and low false positive rates.
- Cross-Functional R&D: Collaborate with Product, Strategy, Data Science, Delivery, and Engineering teams to explore and implement state-of-the-art machine learning and large language model (LLM) capabilities, providing the statistical rigor needed to turn experimental concepts into production-grade features.
REQUIREMENTS
- Qualifications
- Education: MS or MS in Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
- Experience: Minimum 1 year of hands-on experience in Data Science or Advanced Analytics.
- Technical Core: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
- Statistical Rigor: Solid foundation in statistical modeling, feature selection, and performance evaluation (Precision/Recall, AUC, KS).
PREFERRED QUALIFICATIONS
- Experience with graph theory or link analysis for detecting network-based fraud.
- Familiarity with unsupervised learning techniques or anomaly detection.
- Previous experience working in a high-growth SaaS or Fintech environment.
- Domain Knowledge: Familiarity with Fraud Detection, Credit Risk, or Trust & Safety, including knowledge of payment rails (FedNow, ACH, Wire) and typologies (Synthetic ID, ATO, Kiting).
BENEFITS
- Salary ranges between USD 120,000 and 170,000.
- Total compensation includes base salary, performance bonuses, and equity options.
- Comprehensive medical, dental, and vision insurance coverage.
- 401(k) retirement savings plan available.
- Flexible Time Off (FTO) plus paid holidays.
- Opportunities for research, development, and professional advancement.
- Regular team-building events in a collaborative and innovative work environment.
INTRODUCTION
DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
ROLE SUMMARY
We are seeking a hands-on Data Scientist to serve as the "Architect of Efficacy" for our AI-Powered Fraud and AML Solutions suite. In this role, you will move beyond simple analysis to build the mathematical core of our product. You will design pre-built detection strategies that provide immediate protection for new clients, solving the industry-wide "Cold Start" problem. Working at the intersection of research and product, you will collaborate closely with our Product, Strategy, Data Science, Delivery, and Engineering teams to translate complex fraud patterns into scalable, automated defenses.
Responsibilities
- Develop Pre-Built Detection Models: Design, back-test, and optimize statistical baselines and machine learning strategies for our core solution modules, including Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding.
- Mine the Global Consortium: Analyze large-scale, cross-industry data within our global intelligence network to identify high-risk device fingerprints and patterns of organized fraud, transforming these insights into features that can be deployed across all clients.
- Architect "Cold Start" Logic: Create generalized scoring models that deliver immediate value to new clients, ensuring they are protected against known threats even before their historical data is fully integrated.
- Validate AI Agent Logic: Serve as the expert "Human-in-the-Loop" for our AI-driven strategy engine, rigorously testing and validating automated fraud detection logic to ensure safety, transparency, and low false positive rates.
- Cross-Functional R&D: Collaborate with Product, Strategy, Data Science, Delivery, and Engineering teams to explore and implement state-of-the-art machine learning and large language model (LLM) capabilities, providing the statistical rigor needed to turn experimental concepts into production-grade features.
REQUIREMENTS
- Qualifications
- Education: MS or MS in Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
- Experience: Minimum 1 year of hands-on experience in Data Science or Advanced Analytics.
- Technical Core: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
- Statistical Rigor: Solid foundation in statistical modeling, feature selection, and performance evaluation (Precision/Recall, AUC, KS).
PREFERRED QUALIFICATIONS
- Experience with graph theory or link analysis for detecting network-based fraud.
- Familiarity with unsupervised learning techniques or anomaly detection.
- Previous experience working in a high-growth SaaS or Fintech environment.
- Domain Knowledge: Familiarity with Fraud Detection, Credit Risk, or Trust & Safety, including knowledge of payment rails (FedNow, ACH, Wire) and typologies (Synthetic ID, ATO, Kiting).
BENEFITS
- Salary ranges between USD 120,000 and 170,000.
- Total compensation includes base salary, performance bonuses, and equity options.
- Comprehensive medical, dental, and vision insurance coverage.
- 401(k) retirement savings plan available.
- Flexible Time Off (FTO) plus paid holidays.
- Opportunities for research, development, and professional advancement.
- Regular team-building events in a collaborative and innovative work environment.
Job Roles at DataVisor
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Get Access To All JobsTips for Finding DataVisor Visa Sponsorship Jobs USA
Target AI and machine learning roles first
DataVisor's core product is built on AI-driven fraud detection, so engineering and data science roles are where sponsorship is most consistently available. Prioritize positions where your skills align directly with their machine learning and fraud analytics technology.
Understand which visa pathways DataVisor uses
DataVisor sponsors both H-1B and employment-based Green Cards, including EB-2 and EB-3 categories. Knowing this upfront lets you ask informed questions about long-term sponsorship plans during interviews, signaling you've done your homework on their immigration track record.
Raise sponsorship early in the process
At a company DataVisor's size, immigration decisions often involve HR and legal counsel early. Bring up your visa needs before the offer stage so there are no surprises, DataVisor has a track record of sponsoring, but timeline coordination matters for smaller teams.
Highlight specialization in fraud detection or fintech security
DataVisor serves financial institutions and platforms fighting fraud at scale. Candidates with domain experience in financial crime, trust and safety, or risk modeling stand out and are more likely to receive sponsorship offers for hard-to-fill specialized roles.
Search for DataVisor roles through a verified sponsorship platform
Not every job listing makes sponsorship status obvious. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you confirm DataVisor is actively hiring visa-eligible candidates before you spend time on an application.
Prepare for a technical-heavy interview process
DataVisor's engineering bar reflects its AI-first product. Strong performance in technical rounds is what moves sponsorship conversations forward, demonstrated expertise in ML, data infrastructure, or backend systems directly strengthens the case for the company to invest in your visa process.
Frequently Asked Questions
Does DataVisor sponsor H-1B visas?
Yes, DataVisor sponsors H-1B visas for qualifying roles, primarily in technology and software. The company has an established history of filing H-1B petitions for skilled workers in engineering, data science, and related technical disciplines. If you're in a specialty occupation that aligns with DataVisor's AI and fraud detection products, H-1B sponsorship is a realistic pathway.
What visa types does DataVisor sponsor beyond H-1B?
DataVisor sponsors both H-1B work visas and employment-based Green Cards, including EB-2 and EB-3 classifications. The presence of Green Card sponsorship is a strong signal for candidates thinking long-term, it indicates DataVisor is willing to invest in permanent residency support, not just temporary work authorization, for high-value employees.
Which departments or roles at DataVisor are most likely to receive visa sponsorship?
Sponsorship at DataVisor is most concentrated in technical roles, particularly software engineering, machine learning, and data science. These functions sit at the core of DataVisor's fraud detection platform and represent the highest hiring demand. Product and research roles with strong technical requirements may also be eligible, though sponsorship availability in non-technical functions is less consistent.
How do I find current visa-sponsored job openings at DataVisor?
Migrate Mate is the most reliable way to browse DataVisor's open roles with confirmed sponsorship history. Rather than guessing which listings will support visa candidates, Migrate Mate filters by verified sponsors so you can see DataVisor's active postings alongside their real immigration track record, saving you time and reducing uncertainty in your job search.
How do I approach the application timeline if I need H-1B sponsorship at DataVisor?
H-1B cap-subject petitions must be filed in April for an October start date, so timing your offer and onboarding matters significantly. Start your application process at DataVisor at least several months before the registration window opens. If you're already on a valid status such as OPT or a prior H-1B, DataVisor may be able to file outside the cap or bridge your status while your petition is pending, clarify this with their HR team early.