DataVisor
Senior Data Scientist - Fraud Detection
Mountain View, Santa Clara County · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$28,917 more — $168,917 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $168,917 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- 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.
Responsibilities
- End-to-End Model Development: Lead the full lifecycle of fraud detection features and models, from ideation and data exploration to prototyping, productionizing, and monitoring.
- Advanced Feature Engineering: Develop highly predictive features from complex, large-scale, multi-dimensional data, including user behavior, device intelligence, network graphs, and transaction records.
- Agentic AI & Automation: Leverage agentic AI to automate analytic pipelines and develop reusable skill tools that accelerate fraud investigation, feature generation, and reporting workflows.
- Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces. Reconstruct attacker sequences and hypothesize actor intent and tooling.
Requirements
- 3+ years of applied experience in fraud detection, cybersecurity, or a related adversarial/high-velocity risk domain (fintech, consumer payments, banking, SaaS, marketplace risk, or security research).
- Experience with large-scale data tools (Spark, Hadoop, etc.) and cloud platforms (AWS, GCP, Azure).
- Professional proficiency in written and spoken English, with the ability to collaborate effectively in a global, cross-functional team.
Nice to have
- Strong programming skills in Python (must-have) and proficiency with SQL
- experience with PySpark is a significant plus.
Skills
- About DataVisor
- DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
- Come join us!
- Produce clear, evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders.
Compensation
- $140,000-$170,000, commensurate with experience.
- Base salary range: $140,000-$170,000, commensurate with experience.
Benefits
- PTO, Stock Options, Health Benefits
- Machine Learning & Model Development
Company info
- Our culture is open, positive, collaborative, and results-driven.
- Generate fraud trend reports for customers, synthesizing case-level findings and aggregate data into narratives customers can act on.
This listing is sourced directly from DataVisor's careers page and normalized into a canonical job model.