Home Jobs Data Scientist 1
Back to Jobs

Data Scientist 1 - Job Opportunity at PayPal

New York, United States
Full-time
Mid-level
Posted: May 1, 2025
Hybrid
USD 72,700 - 176,000 per year

Benefits

Comprehensive health insurance with competitive coverage
Vision and dental plans covering preventive and major services
Life insurance with additional voluntary options
Employee stock options for long-term wealth building
Flexible hybrid work arrangement (3 days office/2 days remote)
Performance-based annual bonuses
Extensive wellness programs and resources

Key Responsibilities

Lead complex data analysis initiatives to drive strategic business decisions for PayPal's Checkout system
Design and implement sophisticated test-and-control methodologies for product launches
Develop executive-level dashboards and metrics tracking systems
Drive cross-functional collaboration with Risk, Product, and Marketing teams
Create and present data-driven insights to senior leadership
Establish monitoring systems for product performance evaluation
Mentor junior team members and provide analytical leadership

Requirements

Education

Bachelor's or Master's degree in a quantitative field (Analytics, Statistics, Mathematics, Economics, Engineering)

Experience

2-4 years in an analytical role

Required Skills

Advanced SQL proficiency Python programming Data mining expertise BigQuery analytics (Google Cloud) Statistical analysis Experimental design Data visualization Communication and presentation skills Problem-solving abilities Team leadership experience
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

The fintech sector is experiencing rapid evolution with increased focus on real-time payment analytics and fraud detection capabilities. This role reflects the industry's shift toward data-driven decision making in payment processing. There is growing emphasis on cross-border payment analysis and cryptocurrency integration, requiring data scientists to understand both traditional and emerging payment ecosystems. The demand for checkout optimization and consumer behavior analysis is intensifying as e-commerce continues to expand globally.

Salary Evaluation

The offered salary range is competitive for a mid-level data scientist role in New York, aligning with market rates for fintech companies. The wide range ($72,700-$176,000) suggests significant room for growth based on experience and performance.

Role Significance

Likely part of a medium-sized analytics team (5-10 members) within the larger Checkout Analytics organization, with opportunities to mentor junior analysts.
Mid-level position with significant potential for growth and leadership development. The role involves both technical execution and strategic input, suggesting importance in organizational decision-making.

Key Projects

Payment flow optimization initiatives Consumer behavior analysis programs Cross-border transaction pattern analysis Product launch impact assessments Risk modeling and fraud detection projects

Success Factors

Strong combination of technical skills and business acumen Ability to translate complex data insights into actionable business recommendations Experience with large-scale payment processing systems Understanding of financial services regulatory environment Excellent stakeholder management capabilities

Market Demand

Very high demand, particularly in the fintech sector where payment processing expertise combined with data science skills is increasingly valuable

Important Skills

Critical Skills

SQL and Python proficiency for handling large-scale payment data Statistical analysis capabilities for experiment design and evaluation Data visualization skills for executive communication Cross-functional collaboration abilities

Beneficial Skills

Knowledge of payment processing systems Understanding of financial regulations Experience with cloud computing platforms Familiarity with cryptocurrency technologies

Unique Aspects

Direct involvement in global payment systems affecting millions of transactions
Exposure to cutting-edge financial technology and cryptocurrency integration
Opportunity to impact both consumer and merchant experiences
Access to massive, rich datasets for analysis

Career Growth

Typical progression to senior role within 2-3 years, management track possible within 3-4 years given strong performance

Potential Next Roles

Senior Data Scientist Analytics Team Lead Product Analytics Manager Data Science Manager Technical Product Manager

Company Overview

PayPal

PayPal is a global leader in digital payments processing, serving millions of merchants and consumers worldwide. The company has maintained strong market position through continuous innovation in payment technologies.

Industry leader in digital payments with significant market share and continued growth in both consumer and merchant segments
Strong presence in New York financial technology hub, offering exposure to major financial markets and innovation centers
Progressive technology company culture with emphasis on innovation, inclusion, and work-life balance, as evidenced by their hybrid work model and comprehensive benefits package
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.