Lead the design, development, and deployment of advanced data science models that improve fraud detection and risk decisioning.
Partner with cross-functional stakeholders to translate business needs into analytical solutions and data products.
Establish and drive best practices in data science, experimentation, and model governance.
Ensure data quality, accuracy, and integrity across all analytical workflows and pipelines.
Mentor and support junior team members in technical skill development and project execution.
Stay current with emerging technologies, tools, and methodologies in machine learning, analytics, and data engineering.
Master's degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or a related field.
Minimum of 5 years of experience in machine learning, data science, engineering, or a related domain.
Strong SQL expertise, with the ability to translate business requirements into analytical data assets. Experience in ope
Benefits
Paid time off
Additional Information
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:
We are part of PayPal's Global Fraud Prevention organization, focused on building automation, tools, and infrastructure that enhance risk decisioning at scale. We are seeking a senior-level Machine Learning Data Scientist & Engineer with deep analytical expertise and a passion for payments. In this role, you will transform complex data into actionable insights, design and deploy advanced models, and contribute to strategic decision-making across the business. You will lead end-to-end data science initiatives - from data mining and feature engineering to model development and operationalization - while partnering closely with product, engineering, and analytics stakeholders. This position is ideal for someone who thrives in a dynamic environment, enjoys solving complex problems, and is motivated by delivering meaningful business impact.
Job Description:
Essential Responsibilities:
Develop and optimize machine learning models for various applications.
Preprocess and analyze large datasets to extract meaningful insights.
Deploy ML solutions into production environments using appropriate tools and frameworks.
Collaborate with cross-functional teams to integrate ML models into products and services.
Monitor and evaluate the performance of deployed models.
Paypal · Dublin, Ireland