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Staff Data Scientist

PayPal is a global financial technology company that operates a two-sided network connecting merchants and consumers for digital payments and commerce.
$152,500 - $262,350
Data
Staff Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Finance

Description For Staff Data Scientist

PayPal is seeking a Staff Data Scientist to join their App Growth team, focusing on revolutionizing global commerce through AI, ML, and data science. This role sits at the intersection of Strategy, Product, and Data Science, directly impacting how millions of customers worldwide interact with the PayPal App and its ecosystem of products. The position involves building advanced models to understand, predict, and influence customer behavior on PayPal's digital surfaces, while conducting rigorous analyses to drive executive decision-making and product strategy.

The role requires expertise in machine learning, causal inference, and experimentation, with a focus on optimizing digital wallet features and enhancing customer experience. You'll work with cross-functional teams, handling large-scale datasets, and implementing sophisticated models using advanced statistical techniques. The position offers a competitive salary range of $152,500 to $262,350, along with comprehensive benefits including health coverage, retirement plans, and a flexible hybrid work model.

PayPal, with its mission to democratize financial services, operates a global two-sided network connecting hundreds of millions of merchants and consumers. The company provides innovative solutions for digital payments, money transfers, and commerce, serving approximately 200 markets worldwide. The organization values inclusion, innovation, collaboration, and wellness, offering a dynamic environment where you can make a significant impact on global financial technology.

This is an excellent opportunity for a seasoned data scientist with 5+ years of experience who wants to work on challenging problems at scale, while contributing to PayPal's mission of making financial services more accessible and efficient for everyone.

Last updated a day ago

Responsibilities For Staff Data Scientist

  • Lead end-to-end machine learning projects, from problem definition to deployment
  • Perform deep-dive analyses including causal inference analysis, A/B testing, and financial projections
  • Collaborate with cross-functional teams to identify and resolve complex data challenges
  • Design and implement sophisticated models using advanced statistical techniques
  • Develop and maintain data pipelines
  • Establish best practices for analytics and experimentation
  • Support multiple projects in a fast-paced environment
  • Provide strategic guidance on data tracking and metrics
  • Present findings and recommendations to senior-level stakeholders

Requirements For Staff Data Scientist

Python
  • Ph.D. or Masters degree in a quantitative field (Statistics, Computer Science, Economics, or related)
  • 5+ years of experience in analytics, data science, machine learning or causal inference
  • Strong expertise in Python, SQL, and modern ML frameworks
  • Experience handling large-scale datasets
  • Proven track record in experimental design, A/B testing, and statistical analysis
  • Exceptional communication skills
  • Experience with product analytics and understanding of payment systems (preferred)
  • Experience analyzing large, complex, multi-dimensional data sets

Benefits For Staff Data Scientist

Medical Insurance
Dental Insurance
Vision Insurance
401k
Mental Health Assistance
Education Budget
  • Comprehensive Health and Wellness programs
  • Retirement and investment resources
  • Paid Time Off and 4-week sabbatical program
  • Career and Leadership Training and Development
  • Educational benefits
  • Company-matched giving
  • Volunteering opportunities
  • Flexible hybrid work model (3 days office, 2 days choice)
  • Employee shares options
  • Health and life insurance

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