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Data Scientist / Data Engineer, Fraud Modeling Team - Job Opportunity at Visa

Washington, US
Full-time
Mid-level
Posted: May 13, 2025
Hybrid
USD 116,500 - 148,500 per year

Benefits

Comprehensive Healthcare Package (Medical, Dental, Vision) with industry-leading coverage
Competitive 401(k) plan with company matching
Advanced Health Savings Options (FSA/HSA) for tax optimization
Life Insurance with family protection features
Generous Paid Time Off policy aligned with tech industry standards
Wellness Program emphasizing work-life balance
Hybrid work arrangement offering flexibility

Key Responsibilities

Lead development and optimization of fraud detection models with direct impact on global payment security
Drive production deployment of complex predictive models affecting billions of transactions
Spearhead analytical innovation through advanced statistical methodologies
Develop automated analysis tools enhancing operational efficiency
Conduct strategic data analysis supporting business decisions
Execute large-scale transaction analysis using cutting-edge technologies
Lead educational initiatives promoting analytical best practices

Requirements

Education

Bachelor's Degree required, Master's or PhD in quantitative field preferred

Experience

2+ years with Bachelor's or 2+ years with Advanced Degree

Required Skills

Machine learning and AI algorithms Statistical learning theory Scalable systems (Spark, Hadoop) Python, TensorFlow, H2O, Dask SQL and Hive Deep learning concepts Linux/Unix environment Data engineering Communication skills Project management
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Sauge AI Market Intelligence

Industry Trends

The convergence of data science and engineering roles reflects the increasing complexity of fraud detection systems in financial services. Growing emphasis on real-time fraud detection capabilities is driving demand for professionals who can bridge the gap between model development and production deployment. Rising adoption of AI/ML in financial services is creating premium demand for professionals with both technical and domain expertise.

Salary Evaluation

The offered salary range is competitive for the DC market but slightly below similar roles in financial hubs like NYC or SF. Given the role's hybrid nature and Visa's market position, this compensation package is positioned at the 60th percentile of the market.

Role Significance

Typically part of a 8-12 person fraud modeling team within a larger data science organization of 50-100 professionals
Mid-level position with significant technical responsibility and potential for growth into senior technical or management tracks

Key Projects

Development and deployment of enterprise-wide fraud detection systems Integration of advanced ML models with real-time transaction processing Creation of automated monitoring and reporting systems Cross-functional initiatives involving risk, compliance, and business teams

Success Factors

Deep understanding of both theoretical and practical aspects of ML/AI Ability to balance technical excellence with business impact Strong collaboration skills across technical and non-technical teams Proactive approach to identifying and addressing fraud patterns

Market Demand

Very high demand with sustained growth projected over the next 3-5 years due to increasing sophistication of financial fraud and regulatory requirements

Important Skills

Critical Skills

Deep learning expertise crucial for modern fraud detection systems Production deployment experience essential for real-world impact Strong data engineering skills necessary for handling massive transaction volumes

Beneficial Skills

Knowledge of payment systems architecture Understanding of regulatory compliance Experience with real-time processing systems

Unique Aspects

Opportunity to work on global-scale fraud detection systems
Access to massive transaction datasets
Direct impact on financial security infrastructure
Exposure to cutting-edge payment technologies

Career Growth

2-3 years in role before advancement, with accelerated progression possible based on impact

Potential Next Roles

Senior Data Scientist Technical Lead Machine Learning Architecture Fraud Strategy Manager

Company Overview

Visa

Visa maintains a dominant position in global payments infrastructure, processing billions of transactions annually with a focus on security and innovation

Industry leader with significant technical investments and continuous innovation in payment security
Strong presence in DC area with focus on government partnerships and regulatory compliance
Professional environment with emphasis on innovation, security, and reliability, balanced with work-life considerations
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