Staff Data Scientist

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The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Job Description: PayPal, Inc. seeks Staff Data Scientist in Chicago, IL Job Duties: Lead Data Science initiatives within the Pricing Optimization team to drive data-informed pricing decisions. Analyze large, multidimensional datasets and translate findings into actionable insights. Conduct hypothesis testing, statistical inference, and regression analysis to support decision-making. Manage and derive insights from large, complex, and unstructured datasets. Develop machine learning and statistical models to identify pricing targets and treatment strategies that protect margin and sustain merchant engagement. Design and implement experimentation frameworks to evaluate pricing sensitivity and optimize incentive strategies. Collaborate cross-functionally with Product, Engineering, and Finance teams to influence pricing decisions and roadmap priorities. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Bachelor's degree, or foreign equivalent, in Data Science, Business Analytics, or a closely related field plus six years of experience in the job offered or a related occupation. Special Skill Requirements: 1. Experience with scripting languages: Python (Pandas, NumPy, Scikit-learn, and Statsmodels), and SQL, for data manipulation and modeling (5 years) 2. Experience working with large, complex, and high-dimensional datasets in a production environment (5 years) 3. Experience in statistical analysis, hypothesis testing, and regression (5 years) 4. Experience communicating with cross-functional executive stakeholders, driving alignment on high-impact data science initiatives, and influencing non-technical stakeholders to drive business impact (5 years) 5. Experience with pricing science concepts, including elasticity, marginal value, and segmentation (2 years) 6. Experience with causal impact modeling techniques, including Propensity Score Matching and Difference-in-Differences (2 years) 7. Experience with supervised learning (e.g., regression, classification) and unsupervised learning (e.g., clustering, dimensionality reduction) methods (5 years) 8. Experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable business insights and solutions (6 years) 9. Experience with statistical inference techniques for complex business scenarios, including hierarchical modeling and Bayesian approaches (5 years) 10. Experience designing experimentation frameworks and mentoring teams on best practices in large-scale A/B and multivariate testing (2 years) Additional Responsibilities & Preferred Qualifications : EOE, including disability/vets. The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expecte

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