Staff Data Scientist
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 is part of the App, Growth and Wallet ML team, which drives acceleration for PayPal's App Surface by leveraging advanced ML techniques, causal modeling, and experimentation. The position offers a unique opportunity to impact how millions of customers interact with PayPal's digital products.
The role involves building advanced models to understand, predict, and influence customer behavior on PayPal's digital surfaces. You'll be responsible for enhancing customer experience through data-driven improvements to digital wallet features and conducting rigorous analyses to influence executive decision-making and product strategy. The position requires expertise in machine learning, causal inference, and strong technical skills in Python and SQL.
PayPal offers a balanced hybrid work model with 3 days in office and 2 days flexible between office or home. The company provides comprehensive benefits including health insurance, equity options, retirement plans, and professional development opportunities. As part of PayPal's commitment to diversity and inclusion, they welcome candidates from all backgrounds and provide reasonable accommodations for qualified individuals.
This role is perfect for someone who wants to work at the intersection of finance and technology, using advanced data science techniques to solve complex problems that directly impact hundreds of millions of users globally. The position offers the opportunity to work with large-scale datasets and implement sophisticated ML models while collaborating with cross-functional teams in a company that's been revolutionizing commerce for over 25 years.
Responsibilities For Staff Data Scientist
- Lead end-to-end machine learning projects for digital wallet optimization
- 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 ML models using advanced statistical techniques
- Develop and maintain data pipelines while establishing best practices for analytics
- Demonstrate clear understanding of product context and customer interaction with PayPal's financial products
Requirements For Staff Data Scientist
- Ph.D. or Masters degree in a quantitative field (Statistics, Computer Science, Economics, or related) with 6+ years of experience in machine learning and 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)
Benefits For Staff Data Scientist
- Flexible work environment
- Employee shares options
- Health and life insurance
- Retirement and investment resources
- Paid Time Off and 4-week sabbatical program
- Career and leadership training
- Educational benefits
- Company-matched giving
- Comprehensive health and wellness programs
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