▷ [Urgent] Data Scientist - Fraud Automation Team

Join to apply for the Data Scientist - Fraud Automation Team role at PayPal
Join to apply for the Data Scientist - Fraud Automation Team role at PayPal
Get AI-powered advice on this job and more exclusive features.
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 Description Summary:
Meet our team: The Global Fraud Prevention – Automation team is a global, multi-disciplinary Data Science and R&D team. We build tools that automate risk solutions, working across various risk areas, such as consumer and seller risk operations, alongside product and modeling teams to identify opportunities that drive efficiency. Our responsibilities cover research, development, and full product lifecycle ownership of solutions that help data scientists combat fraud at scale. What you need to know about the role: You will work on cutting-edge risk detection and prevention systems that protect PayPal’s users and merchants from financial loss. Develop automated systems and tools - such as scalable machine learning pipelines and fraud mitigation frameworks - that empower the organization to combat fraud efficiently and at scale Collaborate with cross-functional partners across Product, Platform, Machine Learning, and Operations to drive impactful strategic initiatives.

Job Description:
Your way to impact:

As a Data Scientist, you will work in a dynamic environment, applying your data science expertise, algorithmic thinking, and analytical skills to solve complex business challenges. You will design and implement innovative solutions to detect and prevent fraud while also identifying opportunities to drive business growth and operational efficiency. Partnering closely with world-class professionals across the organization, you will uncover actionable insights that directly influence strategic decisions and impact the company’s bottom line.

Your day-to-day work shall involve:

Analyze complex fraud-related problems and utilize data science and algorithmic thinking to uncover impactful opportunities and develop data-driven solutions
Drive end-to-end projects from ideation to implementation, while balancing automation goals with business objectives
Collaborate with cross-functional teams (engineering, analytics, product, operations) to translate business needs into scalable data science tools
Engage stakeholders throughout project lifecycles by understanding business needs and aligning on priorities, impact, and implementation
Support strategy discussions by providing actionable insights derived from exploratory data analysis, reporting and data-driven storytelling

What you need to bring:

Bachelor’s degree in a relevant quantitative field (e.g., Industrial Engineering, Information Systems Engineering, Statistics) with 3+ years of applied data science/analytics experience, or a Master’s degree with 2+ years of experience.
Strong analytical and problem-solving skills with a data-driven mindset
Strong understanding of optimization techniques and decision-making frameworks
Experience in predictive modelling techniques such as Regression, Classification and Time series forecasting
Practical Knowledge of data structures and algorithms as applied to large-scale data mining
Proficiency in Python for data analysis and developing algorithmic solutions
Experience working with large datasets, querying (e.g., SQL), and data manipulation

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. And we can’t do this without our most important asset-you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including 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

Who We Are:

To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx

Commitment to Diversity and Inclusion

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 federal, state, or local law. In addition, 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. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any 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.

REQ ID R0127660
Seniority level Seniority level Not Applicable
Employment type Employment type Full-time
Job function Job function Engineering and Information Technology
Industries Software Development, Financial Services, and Technology, Information and Internet
Referrals increase your chances of interviewing at PayPal by 2x
Get notified about new Data Scientist jobs in Dublin, County Dublin, Ireland .
Dublin, County Dublin, Ireland 2 weeks ago
Dublin, County Dublin, Ireland 1 week ago
Dublin, County Dublin, Ireland 6 days ago
Dublin, County Dublin, Ireland 3 weeks ago
Dublin, County Dublin, Ireland 2 weeks ago
Data Scientist, Infrastructure, Marketing Dublin, County Dublin, Ireland 2 weeks ago
Dublin, County Dublin, Ireland 2 days ago
Dublin, County Dublin, Ireland 4 months ago
Dublin, County Dublin, Ireland 2 months ago
Dublin, County Dublin, Ireland 2 weeks ago
Dublin, County Dublin, Ireland 1 month ago
Dublin, County Dublin, Ireland 1 month ago
Dublin, County Dublin, Ireland 1 week ago
AI Lab - ML and Data Science freeform submission Dublin, County Dublin, Ireland 2 days ago
Dublin, County Dublin, Ireland 3 weeks ago
Dublin, County Dublin, Ireland €70,000.00-€90,000.00 4 weeks ago
Dublin, County Dublin, Ireland 1 month ago
Dublin, County Dublin, Ireland 1 week ago
Dublin, County Dublin, Ireland 23 hours ago
Dublin, County Dublin, Ireland 2 weeks ago
Dublin, County Dublin, Ireland 4 months ago
Dublin, County Dublin, Ireland 3 months ago
Dublin, County Dublin, Ireland 2 weeks ago
Dublin, County Dublin, Ireland 2 weeks ago
Dublin, County Dublin, Ireland 3 hours ago
Dublin, County Dublin, Ireland 1 week ago
Dublin, County Dublin, Ireland 1 month ago
Machine Learning/AI Research Engineer (Post-doc) Dublin, County Dublin, Ireland 1 week ago
Dublin, County Dublin, Ireland 3 weeks ago
Dublin, County Dublin, Ireland 1 week ago
Dublin, County Dublin, Ireland 2 weeks ago
Dublin, County Dublin, Ireland 2 weeks ago
Dublin, County Dublin, Ireland 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr