Senior Data Scientist – Data Infrastructure & Enablement

<p><b>The Company</b></p><p></p><p>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. </p><p></p><p>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.</p><p></p><p>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. </p><p></p><p>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.</p><p></p><p></p><p><b>Job Summary:</b></p>We're part of Global Fraud Prevention, focused on the foundational data, automation, tooling, and infrastructure to improve risk decisioning. We're seeking a senior data scientist passionate about payments to drive insights and support decisions through analytics. The role includes data mining, insight incubation, and product delivery<p></p><p><b>Job Description:</b></p><ul><li><span><span><b>Collaborate with x-functional teams to translate business challenges into data science problems, transform data into analytical data assets, data products and actionable intelligence for faster decision making on one of the largest data platforms in the world. Responsible for requirement gathering, data model design, data ETL process design, data product development and maintenance.</b></span></span></li><li><span><span><b>Supports PayPal business units by providing data in a ready-to-use form to data analysts, data scientists and engineers for system/business insights, predictive analytics, machine learning, etc. Influence data instrumentation based on business requirement understanding.</b></span></span></li><li><span><span><b>Owns and is accountable for the design and development of a data solution feature or a data pipeline with high reliability, stability, scalability, and performance.</b></span></span></li><li><span><span><b>Design or develop data model and enrich the analytical data sources for further usability and availability by adopting advanced &amp; cutting-edge technology.</b></span></span></li><li><span><span><b>Establish comprehensive monitoring framework, proactively identifies, investigates, and resolves data issues and challenges. Skilled in identifying root causes and providing solutions.</b></span></span></li><li><span><span><b>Communicates effectively, able to connect complex technical concepts/information and business <span>requirements/implications.</span></b></span></span></li></ul><p><b><span>Preferred Qualification:</span></b></p><ul><li>Master or equivalent degree in Data Science, Mathematics, Statistics, Computer Science and Engineering, or a related field.</li><li>Strong SQL skill, good at transform business knowledge into analytical data assets; experience with operational data ETL, data warehouse/data mart building is a big plus; prior experience with Teradata, Hadoop, or Google Cloud is a big plus.</li><li>Strong data analytics background, knowledge of statistical modeling and data modeling. 2+ years’ experience in data science, data development and quantitative optimization.</li><li>Experienced with report analysis and development using business intelligence tools such as Tableau. Able to pick up new programmi