Senior 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 Senior Data Scientist in Chicago, IL Job Duties: Lead the development and implementation of advanced data science models. Design and implement core decision models for identity, onboarding, authentication, abuse, scam, product-specific models by leveraging Python, SQL languages, and BigQuery tool to design and implement risk decision. Collaborate with stakeholders to understand requirements. Work closely with cross-functional teams, including engineers, operations, and product teams, to integrate fraud prediction models and strategies into various systems and processes. Drive best practices in data science. Drive success through data-driven approach by applying statistics, machine learning and AI into fraud detection space. Maintain loss within targets while still delivering best-in-class risk experience by optimizing risk frictions and ensuring PayPal customers are kept safe and ensure through machine learning and AI applications. Ensure data quality and integrity in all processes. Ensure data integrity and consistency by working closely with business stakeholders and engineers to address critical data challenges. Validate the underlying data and map out the discrepancies in our system to help improve data quality and integrity by working with data engineering team. Mentor and guide junior data scientists. Provide support to guide junior data scientists in the same team to help them deliver the projects and bridge the knowledge gap. Stay updated with the latest trends in data science. Explore most advanced technologies (AI, ML, LLM) to evolve risk strategies and risk modelling to better combat fraud. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Master's degree, or foreign equivalent, in Computer Science, Engineering, Natural and Applied Science or a closely related field plus two years of experience in the job offered or a related occupation Employer will accept a Bachelor's degree, or foreign equivalent, in Computer Science, Engineering, Natural and Applied Science or a closely related field plus five years of experience in the job offered or a related occupation. Special Skill Requirements: 1. Applying machine learning algorithms on financial data for fraud detection, abuse detection, identity risk or risk assessment, using supervised learning and unsupervised learning (logistic regression, gradient boosting, random forest, clustering) (2 years) 2. Developing, training, calibrating and validating regression-based default models for fraud or risk prediction (2 years) 3. Conducting analysis using SQL/SAS/Python in database/server for large-scale data analysis (2 years) 4. Performing data manipulation and processing using distributed com

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