Staff Data Scientist

Staff Data Scientist - Payments at PayPal Company Overview 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, helping them connect, transact, and complete payments, whether online or in person. Our proprietary payment solutions enable merchants to complete payments on our platform on behalf of customers and provide flexibility for consumers to use a variety of funding sources, including bank accounts, PayPal and Venmo balances, credit products, debit cards, cryptocurrencies, gift cards, and more. We also support cross‑border shopping and help merchants expand globally while reducing friction. Job Description Summary This role designs and implements advanced data science models to support business needs. The incumbent works with stakeholders to understand requirements and deliver solutions, drives best practices in data science, ensures data quality, and mentors junior scientists. Job Description Essential Responsibilities Lead and manage data science projects, ensuring timely delivery and alignment with business goals. Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision‑making. Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives. Collaborate with cross‑functional teams to understand data needs and provide actionable insights. Ensure data quality and integrity through regular audits and validation processes. Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement. Expected Qualifications 5+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience. Additional Responsibilities and Preferred Qualifications Partner with Product, Engineering, and Finance to translate complex business problems into scalable data science solutions. Build causal inference and forecasting models to measure marketing and product impact, guiding investment and prioritization decisions. Design and operationalize experimentation frameworks to improve product performance and user engagement. Develop and maintain reusable data pipelines, embeddings, and feature libraries to accelerate model development. Communicate insights and recommendations clearly to leadership, influencing strategic direction across teams. Proven expertise in causal inference, experimentation, and model‑driven decision‑making. Proficiency in Python, SQL, and statistical modeling frameworks (e.g., XGBoost, regression, time series, DML). Experience in cloud environments (AWS, GCP) and analytics tools (Tableau, PySpark). Strong stakeholder management and ability to communicate insights to non‑technical audiences. Experience leading experimentation and measurement strategies in large‑scale tech environments. Experience setting up Agentic workflows for automating data requests and root cause analysis. Background in product analytics and marketing measurement. Demonstrated impact in cross‑functional collaboration with product, engineering, and business stakeholders. Experience mentoring data scientists and driving adoption of data‑driven decision‑making practices. PayPal is committed to fair and equitable compensation practices. Actual compensation is based on various factors including work location and relevant skills and experience. The U.S. national annual pay range for this role is $152,500 to $262,350. Total compensation may include an annual performance bonus, equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com. Our Benefits We offer a flexible work environment, employee share options, health and life insurance, and more. To learn more about our benefits please visit https://www.paypalbenefits.com. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. PayPal is proud of its diverse workforce and continues to take tangible actions to cultivate inclusivity and belonging. For general requests for consideration of your skills, please join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. #J-18808-Ljbffr