DataVisor Jobs Hiring Now
DataVisor is hiring for 10 open roles on Migrate Mate as of July 16, 2026, concentrated in software engineering and sales, with listed salaries up to about $350,000. Migrate Mate updates DataVisor's live openings daily. DataVisor is a technology company that builds AI-powered fraud detection and financial crime prevention solutions for banks, fintech platforms, and digital enterprises.
Find DataVisor JobsOverview
DataVisor hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 10
- Top team
- Software Engineering
- Seniority
- Manager level or above
- Work type
- 30% remote or hybrid
- Top location
- Mountain View
- Salary range
- $100,000–$350,000
Listed salaries for DataVisor roles on Migrate Mate range from about $100,000 to $350,000 per year across 10 open roles, as of July 16, 2026.
Open Roles at DataVisor
Showing 10 of 10+ DataVisor jobs
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 SummaryWe 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).
- 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.
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 SummaryWe 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).
- 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
Working at DataVisor
DataVisor's 10 open roles are manager level or above, and about 30% are remote or hybrid. The most active teams are software engineering, sales, and consulting & professional services. DataVisor develops artificial intelligence and machine learning software used by financial institutions and digital platforms to detect fraud, money laundering, and account abuse at scale. The company hires across software engineering, data science, product, and customer-facing risk and account management functions. Most DataVisor roles are based in Mountain View.
Explore more roles by function
Browse thousands of live openings across engineering, sales, product, and more, and apply in just a few clicks.
Browse jobs by roleDataVisor Jobs: Frequently Asked Questions
How many jobs is DataVisor hiring for right now?
DataVisor is hiring for 10 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in software engineering and sales. Roles span software engineering, data science, product marketing, risk consulting, and technical support, reflecting DataVisor's mix of technical and go-to-market hiring.
What kinds of roles does DataVisor hire for?
The most active teams are software engineering, sales, and consulting & professional services. DataVisor's open positions include software engineers, data scientists, risk consultants, product marketing directors, account managers, and product support engineers. Most postings are manager level or above, reflecting a focus on experienced hires across both technical and client-facing disciplines.
Are DataVisor jobs remote or in-person?
A mix of remote and on-site. About 30% of DataVisor's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in Mountain View. Each DataVisor listing shows its work location so you can filter before applying.
How do I apply to a job at DataVisor?
Find a DataVisor role on Migrate Mate, then follow the listing directly through to DataVisor's own careers page to submit your application. DataVisor manages its own hiring process, including application review, interviews, and offers. Migrate Mate does not accept or forward applications on DataVisor's behalf.
What do DataVisor jobs pay?
Listed salaries for DataVisor roles on Migrate Mate range from about $100,000 to $350,000 per year as of July 16, 2026, with most postings at manager level or above. Exact pay is set by DataVisor and shown on each listing.
Does DataVisor hire entry-level?
Most of DataVisor's open roles on Migrate Mate are manager level or above as of July 16, 2026. Entry-level openings are limited. Check individual DataVisor listings for stated experience requirements.
Where is DataVisor hiring?
Most DataVisor roles are based in Mountain View, and about 30% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.