Senior Data Scientist, Fraud Analytics – Strategy

DataVisor

Senior Data Scientist specializing in fraud analytics and AI innovation at DataVisor. Leading fraud detection strategies and collaborating across teams to enhance capabilities.

Posted 5/20/2026full-timeMountain View • California • 🇺🇸 United StatesSenior💰 $110,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead the design, testing, deployment, and lifecycle management of fraud detection strategies across account origination, money movement, and card payment channels (CP/CNP).
Conduct forensic analysis to identify emerging and “day-zero” fraud patterns, translating insights into actionable detection logic.
Collaborate with the internal Data Science teams to refine ML features and ensure detection models capture the most relevant signals.
Act as a key stakeholder for Engineering and Product teams, providing high-fidelity feedback on AI-driven tools and automation workflows.
Own governance standards for fraud rules and ensure compliance with regulatory frameworks (AML, KYC, BSA).
Serve as a subject matter expert on external data sources and enrichment signals to enhance detection capabilities.
Mentor junior team members through project guidance and knowledge sharing.
Partner with Product, Engineering, and Commercial teams to ensure fraud strategy aligns with evolving client and market needs.

Requirements

What you’ll need

B.A./B.S. degree required in a quantitative or related field (STEM, Economics, Finance); advanced degree or professional certifications (CAMS, CFE) preferred.
3–5 years of hands-on experience in fraud strategy, fraud analytics, or risk management within Fintech, Tier-1 Banking, Payments, or large-scale Merchant environments.
Strong proficiency in SQL and Python with experience analyzing large, complex datasets.
Deep understanding of payment fraud (CP/CNP) and familiarity with AML, KYC, and regulatory frameworks.
Ability to think like an attacker and proactively design robust fraud defenses.
Experience collaborating cross-functionally with Data Science, Engineering, and Product teams.
Strong communication skills to clearly convey technical and analytical findings to both technical and non-technical stakeholders.

Benefits

Comp & perks

PTO
Stock Option
Health Benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonfraud detection strategiesforensic analysismachine learningdata analysisfraud analyticsrisk managementdata enrichmentregulatory compliance

Soft Skills

mentoringcollaborationcommunicationstakeholder engagementproblem-solvinganalytical thinkingproject guidancefeedback provisioncross-functional teamworkproactive design

Certifications

B.A./B.S. degreeCAMSCFE