PayPal
Overview
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 online or in person. PayPal offers proprietary payment solutions and enables secure, end-to-end payments on our platform. We provide funding flexibility for purchases and transfers, including various funding sources and payment products. Our PayPal, Venmo, and Xoom products support safe transfers among friends and families and offer merchants end-to-end payment solutions with authorization, settlement, and access to funds. We help merchants connect with customers, manage risk, and expand cross-border reach while reducing complexity in cross-border trade. Our core values are Inclusion, Innovation, Collaboration, and Wellness, guiding how we operate as a global team with customers at the center of everything we do. Job Summary The Staff Data Scientist – FP&A Data Engineering will report to and support the Sr Director of FP&A Technologies in developing and executing strategic transformation programs and initiatives, including strategic engineering architecture design from an AI/ML perspective to support Finance stakeholders. The role is strategic, analytical, and highly collaborative, working with teams globally and acting as a liaison for transformation and AI/ML projects. Responsibilities
Design, develop, and deploy machine learning models using GCP services such as AI Platform, BigQuery ML, Vertex AI, TensorFlow, and AutoML. Build and optimize scalable pipelines for data collection, preprocessing, and feature engineering. Collaborate with data engineers to design ETL pipelines and manage large datasets on GCP. Develop custom machine learning models tailored to business needs, including supervised, unsupervised, and reinforcement learning algorithms. Integrate AI/ML models into cloud applications and ensure seamless operation in production environments. Work closely with software engineers to embed AI/ML models into applications and products, ensuring best practices for CI/CD in ML. Conduct research to stay up-to-date with the latest AI/ML techniques and apply them to business use cases. Perform model tuning, evaluation, and monitoring for performance and accuracy improvements. Provide mentorship and guidance to junior developers and contribute to code reviews, technical design sessions, and project planning. Ensure security, scalability, and performance of ML models deployed in production. Minimum Qualifications
Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience. Preferred Qualifications
Master's degree or higher in Computer Science, Mathematics, or related field with keen interest in Machine Learning and AI Proven experience in developing and implementing solutions in machine learning and AI-related spaces Strong programming skills in languages such as Python, Java, or C++ In-depth knowledge of machine learning frameworks and libraries for analytics and text processing (e.g., TensorFlow, PyTorch) Experience with cloud services related to machine learning (Vertex AI, etc.) Excellent problem-solving skills and the ability to work in a fast-paced environment Strong communication skills to effectively collaborate with team members and stakeholders Strong knowledge of algorithms, statistics, data structures, distributed systems, and software engineering best practices Proven experience leading and delivering complex ML projects at production scale Experience integrating ML solutions into cloud environments (e.g., AWS, Azure, GCP) is highly desirable Other Details
Subsidiary: PayPal Travel Percent: 0 PayPal is committed to fair and equitable compensation practices. Actual compensation is based on factors including work location and relevant skills and experience. The total compensation may include an annual performance bonus (or other incentive compensation), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits
At PayPal, we’re committed to building an equitable and inclusive global economy. We offer benefits to help you thrive in every stage of life, including support for financial, physical, and mental health. We have a flexible work environment, employee shares options, health and life insurance, and more. To learn more about our benefits please visit https://www.paypalbenefits.com Belonging and Diversity
PayPal provides equal employment opportunity (EEO) 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 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 We are committed to belonging and inclusivity, and we invite candidates to join our Talent Community for thoughtful consideration of skills.
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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 online or in person. PayPal offers proprietary payment solutions and enables secure, end-to-end payments on our platform. We provide funding flexibility for purchases and transfers, including various funding sources and payment products. Our PayPal, Venmo, and Xoom products support safe transfers among friends and families and offer merchants end-to-end payment solutions with authorization, settlement, and access to funds. We help merchants connect with customers, manage risk, and expand cross-border reach while reducing complexity in cross-border trade. Our core values are Inclusion, Innovation, Collaboration, and Wellness, guiding how we operate as a global team with customers at the center of everything we do. Job Summary The Staff Data Scientist – FP&A Data Engineering will report to and support the Sr Director of FP&A Technologies in developing and executing strategic transformation programs and initiatives, including strategic engineering architecture design from an AI/ML perspective to support Finance stakeholders. The role is strategic, analytical, and highly collaborative, working with teams globally and acting as a liaison for transformation and AI/ML projects. Responsibilities
Design, develop, and deploy machine learning models using GCP services such as AI Platform, BigQuery ML, Vertex AI, TensorFlow, and AutoML. Build and optimize scalable pipelines for data collection, preprocessing, and feature engineering. Collaborate with data engineers to design ETL pipelines and manage large datasets on GCP. Develop custom machine learning models tailored to business needs, including supervised, unsupervised, and reinforcement learning algorithms. Integrate AI/ML models into cloud applications and ensure seamless operation in production environments. Work closely with software engineers to embed AI/ML models into applications and products, ensuring best practices for CI/CD in ML. Conduct research to stay up-to-date with the latest AI/ML techniques and apply them to business use cases. Perform model tuning, evaluation, and monitoring for performance and accuracy improvements. Provide mentorship and guidance to junior developers and contribute to code reviews, technical design sessions, and project planning. Ensure security, scalability, and performance of ML models deployed in production. Minimum Qualifications
Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience. Preferred Qualifications
Master's degree or higher in Computer Science, Mathematics, or related field with keen interest in Machine Learning and AI Proven experience in developing and implementing solutions in machine learning and AI-related spaces Strong programming skills in languages such as Python, Java, or C++ In-depth knowledge of machine learning frameworks and libraries for analytics and text processing (e.g., TensorFlow, PyTorch) Experience with cloud services related to machine learning (Vertex AI, etc.) Excellent problem-solving skills and the ability to work in a fast-paced environment Strong communication skills to effectively collaborate with team members and stakeholders Strong knowledge of algorithms, statistics, data structures, distributed systems, and software engineering best practices Proven experience leading and delivering complex ML projects at production scale Experience integrating ML solutions into cloud environments (e.g., AWS, Azure, GCP) is highly desirable Other Details
Subsidiary: PayPal Travel Percent: 0 PayPal is committed to fair and equitable compensation practices. Actual compensation is based on factors including work location and relevant skills and experience. The total compensation may include an annual performance bonus (or other incentive compensation), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits
At PayPal, we’re committed to building an equitable and inclusive global economy. We offer benefits to help you thrive in every stage of life, including support for financial, physical, and mental health. We have a flexible work environment, employee shares options, health and life insurance, and more. To learn more about our benefits please visit https://www.paypalbenefits.com Belonging and Diversity
PayPal provides equal employment opportunity (EEO) 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 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 We are committed to belonging and inclusivity, and we invite candidates to join our Talent Community for thoughtful consideration of skills.
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