Manager, Data Science

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 Manager, Data Science in San Jose, CA

Job Duties: Responsible for administering the post transaction risk for Venmo payments. Work with large data sets to drive insights based on loss and fraud trends. Work with various product teams to build product capabilities to reduce losses and enhance the customer experience for post transaction issues. Handle new partnerships end to end from defining requirements, working with product teams to build features, integrating data models input to manage post transaction risk, building dashboard for monitoring, and reporting for wider stakeholders. Conduct large data mining and modeling to drive insights on data that help mitigate risk. Combine data modeling and insights to build model and strategy that help improve customer experience. Extract and analyze information from large structured and unstructured datasets using data-oriented programming languages such as SQL. Build reports, visualize and summarize data finding and draw interpretations for optimization of business processes using visualization software. Develop techniques and data analysis to transform raw transaction data into actionable insights. Plan, direct, or coordinate activities for data analysis, building reports and interpretations. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Mathematics, Business Analytics, or a closely related field plus two years of experience in the job offered or a related occupation.

Special Skill Requirements:

1. Experience in using data findings and interpretations to optimize business processes (2 years).

2. Experience in extracting insights and making informed decisions using data science knowledge (2 years).

3. Experience in developing techniques using data analysis to combine business needs with data into actionable insights (2 years).

4. Experience in creating and implementing the long-term goals and business strategies for teams and organizations (2 years).

5. Experience in summarizing and visualizing data, and building reports using visualization software such as Tableau (2 years).

6. Experience in extracting and analyzing information from large structured and unstructured datasets using data-oriented programming languages such as SQL (2 years).

7. Experience in data modeling and insights to build models and strategy that help improve customer experience (2 years).

8. Experience in data analytical tools to store, analyze