Manager, Data Science 1

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 Description Summary:

Job Description:

PayPal, Inc. seeks Manager, Data Science 1 in San Jose, CA

Job Duties: Lead and manage a team of employees providing guidance, support, and mentorship to deliver the key strategic initiatives in fraud risk management. Support multiple high-impact strategic initiatives in Venmo Risk domain, develop and continuously enhance risk management controls. Lead analytical projects, while setting goals, providing benefit estimations, defining workflows and coordinating timelines in advance. Lead a team to manage risk strategy for Venmo by analyzing existing loss trends through review of specific cases, research on PayPal’s payments database and incorporation of feedback from operations teams, producing accurate, automated risk solutions and manual handling policies to block fraudulent activities by declining payments, adding accounts to the fraud review queue or restricting suspicious users, and developing controls and monitoring dashboards to ensure performance against business goal, regulatory requirements, and business priorities.  Work closely with product teams on development of new products to identify potential gaps that might create loss and define requirements to mitigate those risks. Work with various partners within Venmo and PayPal to coordinate the execution of fraud mitigation solutions. Partial telecommuting permitted from a commutable distance.

Minimum Requirements: Master’s degree, or foreign equivalent, in Statistics, Economics, Finance, or a closely related field plus three years of experience in the job offered or a related occupation.

Special Skill Requirements:

SQL - Proficient in writing complex SQL queries to extract, transform, and analyze large datasets for daily loss monitoring and ad-hoc analysis. (3 year/s) Python - Proficient in Python for efficient data manipulation, data mining, modeling, machine learning and data visualization. (3 year/s) Statistical Analysis - Proficient in statistical method and techniques to analysis data, identify trends, and make data-driven recommendations. (3 year/s) Hadoop - Proficient in utilizing Hadoop for processing and analyzing large datasets in a distributed computing environment. (3 year/s) Tableau - Proficient in Tableau in creating interactive dashboards and reports to visualize and monitor key loss metrics. (3 year/s) Hive - Competent in writing Hive queries to process and analyze data stored in Hadoop Distributed File System (HDFS). (3 year/s) VBA - Proficient in VBA for automating data processing and reporting tasks. (3 year/s) Fraud Analytics - Fraud Ana