Sr 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 Summary: This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists. Job Description: PayPal, Inc. seeks Sr Data Scientist in San Jose, CA Job Duties: Leverage data and analytics to drive strategy and initiatives while taking end-to-end ownership of key projects. 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 and effect, and communicate key findings to various stakeholders to facilitate data driven decision-making. Engage in problem-solving with Risk, Product, Marketing, Design, Engineering and various other teams to determine performance trends and root causes. Design hypothesis-driven experiments; support new product launches by establishing test and control plans, providing cohesive and comprehensive recommendations based on test outcomes, and ensuring constant monitoring is in place to track product performance. Create close relationships with stakeholders to anticipate and answer questions that might be asked by executives. Combine findings to convey clear insights, and analyze large, complex, multi-dimensional data sets. Solve problems analytically and create actionable recommendations. Establish and promote best practices in analytics instrumentation and experimentation. Manage multiple projects simultaneously in a fast-paced, results-driven environment. Partial telecommuting permitted from within a commutable distance. Additional Responsibilities & Preferred Qualifications : Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Business Analytics, Statistics, or a closely related field, plus three years of experience in the job offered or a related occupation. Special Skill Requirements: Experience using SQL and at least one scripting language: Python or R, for processing large, complex, and messy datasets. (3 years); Experience designing and reading out A/B Testing or hypothesis testing to inform product decisions and new experience launches (3 years); Experience with Product Analytics to conduct funnel analysis, user segmentation, and identify growth opportunities (3 years); Experience with reporting tools: Tableau, Looker, or Excel (2 years); Experience defining, measuring, and monitoring key business and product KPIs (3 years); Experience partnering with leadership engineers, product managers, and data engineers to understand business needs and how these can be addressed through analytics (3 years); Experience in Statistical Modeling - including regression, time-series forecasting, and classification models — to quantify impact, predict outcomes, and support strategic decision-making. (3 years); Experience translating complex problems into simpler terms, and effectively influencing both peers and senior leadership (3 years). EOE, including disability/vets. The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: San Jose, CA | Salary: $175,040.00-243,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Additional compensation for this role may include an annual performance bonus, equity, or other incentive c