Data Scientist

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:

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.



The Merchant Pricing-FX Analytics & ML team at PayPal plays a critical role in driving acceleration for PayPal’s top and bottom line by using the scientific method to advocate for decisions founded in data-driven insights. This team sits at the intersection of Strategy, Product, and Sales, and has a front-row seat to Senior Leadership discussions on PayPal’s monetization strategy.



We are looking for a Data Scientist for Pricing-FX Product Analytics team who is very strong at generating valuable insights from data through deep dive analysis, can support new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance.

Job Description:

In your day-to-day role, you will:  

• Develop root cause analysis for anomalous events and unexpected pricing behaviors and deep dive on product performance and proactively look for error mitigation. 

• Analyze product performance and health, triage issues, and provide recommendation on the best course solution and optimization.  

• Design, construct, implement and analyze pricing experiments with the objective of drive statistical conclusions. 

• Design, construct, execute and present funnel tracking and data mine insights for pricing product launches.  

• Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features.  

• Support multiple projects at the same time in a fast-paced, results-oriented environment. 

• Synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders