Senior Data Scientist
PayPalAbout the role
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:
Be a senior member of the PayPal Checkout Analytics team, with expertise in deriving actionable insights through deep-dive analysis. Skilled in supporting new product and feature launches by designing robust test-and-control frameworks and implementing continuous monitoring to track and optimize product performance.Job Description:
We are seeking a Senior Data Scientist for our Checkout Analytics team who excels beyond traditional reporting and analysis. This leader will leverage PayPal’s extensive data to uncover actionable insights, gaining a deep understanding of the Consumer Experience, Payment ecosystems, and site functionality. Along the way, they will enhance their analytical, leadership, and presentation skills while collaborating closely with diverse functional teams across PayPal.
Key Responsibilities
Conduct deep-dive analyses on key business trends from multiple angles, delivering insights in clear, actionable presentations.
Design visually engaging data outputs that are intuitive for end-users to explore and understand.
Define critical metrics and develop executive-facing dashboards to monitor business performance and track progress on high-priority initiatives.
Identify key business levers, establish cause-and-effect relationships, and effectively communicate insights to stakeholders to drive data-informed decisions.
Collaborate with teams across Risk, Product, Marketing, and others to analyze performance trends, identify root causes, and solve complex challenges.
Facilitate new product launches by developing test-and-control plans and implementing continuous monitoring to assess product performance.
Build strong relationships with stakeholders, proactively anticipating and addressing potential executive inquiries.
Basic Requirements:
Bachelor’s or Master’s degree, and a PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience.
2-4 plus years of professional experience in an analytical role, with proven success managing teams of analysts or data scientists.
Proficiency in databases, spreadsheets, and statistical tools, with advanced skills in SQL, data mining, and BigQuery analytics (Google Cloud).
Extensive experience in experimentation, including designing, executing, and analyzing product or feature launches.
Expertise in synthesizing complex dat
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