Sr Data Scientist

PayPal • San Jose, CA

3d • Hybrid

About The Position

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 Sr Data Scientist in San Jose, CA

Requirements

• Master’s degree, or foreign equivalent, in Business Analytics, Engineering, or a closely related field plus two years of experience in the job offered or a related occupation.
• Experience extracting actionable insights from large and complex datasets using data mining techniques (2 years)
• Experience writing advanced queries and managing relational databases using SQL (2 years)
• Experience designing and analyzing experiments to inform product decisions using A/B testing methodologies (2 years)
• Experience applying statistical tests including ANOVA to validate hypotheses and assess significance (2 years)
• Experience building and interpreting models for prediction and inference using statistical modeling techniques (2 years)
• Experience implementing, tuning, and deploying machine learning algorithms for business applications (2 years)
• Experience performing data analysis and modeling using statistical programming languages such as Python and R (2 years)
• Experience creating dashboards and communicating insights through visual storytelling using Tableau and Looker (2 years)
• Experience building, automating, and maintaining robust data pipelines to support scalable analytics (2 years)
• Experience defining tracking requirements and ensuring accurate data capture for analysis using data instrumentation best practices (2 years)
• Experience processing large-scale unstructured data using distributed computing tools like Hadoop and Hive (2 years)
• Experience building data-supported business cases and quantifying impact potential of product and business opportunities through opportunity sizing (2 years)
• Experience analyzing user data to shape product strategy and guide feature development through product analytics (2 years)
• Experience measuring marketing effectiveness and optimizing campaign performance using marketing analytics (1 year)
• Experience leveraging web data to improve user engagement and experience through web analytics (1 year)
• Experience identifying behavioral patterns and trends to understand customer needs using consumer behavioral analytics (2 years)
• Experience creating data-driven customer segments for targeted strategies using segmentation techniques (2 years)
• Experience working closely with cross-functional stakeholders including Product, Engineering, and Marketing teams to align on goals and drive execution (2 years)

Responsibilities

• Conduct rigorous data analysis using machine learning models and advanced statistical methods to improve customer experiences and identify profitable growth opportunities.
• Work cross-functionally with product, engineering, design, and marketing teams to build world-class products, leveraging A/B testing frameworks and hypothesis-driven experiments to drive data-backed decisions.
• Improve product experiences for 200+ million customers by applying predictive modeling, clustering, and other machine learning techniques to uncover insights and optimize user interactions.
• Leverage the Objective & Key Results (OKR) framework to identify and track product metrics, ensuring data accuracy through automated pipelines and real-time dashboards.
• Present findings and recommendations to senior level/non-technical stakeholders, translating complex data insights into actionable strategies.
• Deliver statistical analyses and experimental design techniques to understand customer behavior, optimize new feature launches, and inform product prioritization.
• Build automation for data collection, processing, and visualization, ensuring seamless reporting and monitoring of key performance indicators.
• Support multiple projects simultaneously in a fast-paced, results-oriented environment, ensuring analytical rigor in all business recommendations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level