Senior Data Scientist

About the position

We are seeking a Senior Data Scientist to join our Checkout Analytics team-someone who goes beyond reporting and analysis to uncover meaningful insights from PayPal's vast data. In this role, you will develop a deep understanding of the Consumer Experience, Payment ecosystem, and site functionality while refining your analytical, leadership, and presentation skills. You will also collaborate with a diverse range of functional teams across PayPal. Experience in managing or mentoring a small team is a plus.

Responsibilities

• Perform deep-dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations
• Make data visually appealing and simple to both navigate and comprehend for end-users
• Identify key metrics and drive the building of exec-facing dashboards to track the progress of the business and its highest-priority initiatives
• Identify key business levers, establish cause & effect, and communicate key findings to various stakeholders to facilitate data-driven decision-making
• Engage in problem-solving with Risk, Product, Marketing, and various other teams to determine performance trends and root causes.
• Support new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance.
• Create close relationships with stakeholders to anticipate & answer questions that might be asked by executives

Requirements

• Bachelor's or Master's degree in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience.
• 5+ years in an analytical role with a proven track record of managing teams of analysts or data scientists.
• Proficiency in databases, spreadsheets, and statistical tools, with advanced expertise in SQL, Python, data mining, and BigQuery analytics (Google Cloud).
• Extensive experience in designing, executing, and analyzing experiments for product and feature launches.
• Ability to synthesize complex data into clear, actionable insights and compelling narratives.
• Experience working with large, multi-dimensional datasets and solving complex analytical challenges.
• Strong analytical and problem-solving abilities, with the capability to translate findings into actionable recommendations.
• Strong written and verbal communication skills, with the ability to distill complex concepts into clear, persuasive insights for both peers and senior leadership.

Nice-to-haves

• Experience in payments, eCommerce, or financial services is a plus.

Benefits

• Flexible work environment
• Employee shares options
• Health and life insurance
• Annual performance bonus
• Equity compensation
• Medical, dental, and vision benefits