Senior Data Scientist - Fraud Prevention & Strategy

Nextens; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a strategic and business‑oriented Senior Data Scientist to drive Fraud Prevention Score initiatives across Brazil, LATAM, EMEA, and APAC. The role advances analytical capabilities, accelerates fraud prevention innovation, and delivers scalable, governance-driven solutions for digital identity, risk intelligence, and next‑generation fraud strategies.

The ideal candidate combines strong technical expertise with business acumen, stakeholder management, and the

Qualifications

• Advanced experience in Data Science, Advanced Analytics, ML, or related quantitative fields.
• Strong background in fraud analytics, digital identity, risk modeling, or financial crime prevention.
• Expertise in predictive modeling, machine learning, statistics, and large-scale data environments.
• Experience deploying analytical solutions in production environments.
• Strong stakeholder management and communication; able to influence across technical and business teams.
• Experience in global and matrixed organizations.
• Ability to balance strategic thinking with hands-on execution.
• Advanced English communication skills.

Responsibilities

• Lead design, development, validation, and monitoring of fraud prevention models and ML solutions.
• Drive analytics for Fraud Next Generation strategies aligned with product, technology, and commercial goals.
• Partner with Product, Technology, Sales, Pre-Sales, Content Acquisition, and Global Analytics teams to deliver scalable business solutions.
• Identify opportunities to enhance fraud detection, identity verification, and data intelligence.
• Support expansion of Decision Trust solutions through analytics, proof of concepts, customer engagements, and production-ready implementations.
• Provide technical leadership and mentorship to other data scientists.
• Ensure alignment with governance, Responsible AI, and regulatory requirements.
• Communicate findings to technical and non-technical stakeholders including senior leadership.
• Contribute to long-term analytical roadmap supporting innovation and scalable growth.
• Evaluate new data assets and emerging technologies to improve fraud prevention.

Skills

Data Science

Advanced Analytics

Machine Learning

Fraud Analytics

Digital Identity

Risk Modeling

Financial Crime

Predictive Modeling

Statistical Analysis

Production Deployment

Stakeholder Management

Communication Skills

Global Teams

Job description

LexisNexis Risk Solutions is seeking a strategic and business‑oriented Senior Data Scientist to drive Fraud Prevention Score initiatives across Brazil, LATAM, EMEA, and APAC. The role advances analytical capabilities, accelerates fraud prevention innovation, and delivers scalable, governance-driven solutions for digital identity, risk intelligence, and next‑generation fraud strategies.

The ideal candidate combines strong technical expertise with business acumen, stakeholder management, and the