Data Scientist at PayPal

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

24 Jan, 26

Salary

0.0

Posted On

26 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Analytical Skills, Algorithmic Thinking, Predictive Modelling, Python, SQL, Data Manipulation, Optimization Techniques, Problem-Solving, Project Management, Fraud Detection, Risk Management, Collaboration, Exploratory Data Analysis, Stakeholder Engagement, Business Judgment

Industry

Software Development

Description

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: What you need to know about the role: Apply your strategic thinking and data science skills to solve complex problems for the Global Fraud Prevention team at PayPal. You will work on cutting-edge risk detection and prevention systems that protect PayPal’s users and merchants from financial loss. Develop automated applications and tools that enable data science at scale. Collaborate with cross-functional partners across Product, Platform, Machine Learning, and Operations to drive impactful strategic initiatives. Meet our team: The Global Fraud Prevention – Automation 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. Job Description: Your way to impact: As a Data Scientist, you will leverage your data science expertise, analytical skills, and algorithmic thinking to solve complex business problems and optimize solutions. You’ll work closely with world-class professionals to identify actionable insights that directly impact the company’s bottom line. You’ll work in a dynamic environment, coming up with analytical solutions to fight fraud, as well as exploring business enablement opportunities that drive growth and efficiency. Your day-to-day work shall involve: Analyze complex fraud-related problems and apply data science and algorithmic thinking to identify and implement optimization opportunities Drive projects end-to-end—from ideation to implementation—while balancing automation goals with fraud loss mitigation Support strategy discussions with insights derived from exploratory data analysis and reporting Collaborate with cross-functional teams (product, engineering, 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 Identify new opportunities and continuous improvement to contribute to the team’s KPIs and targets – Ensuring the balance of automation goals with fraud loss. Engage stakeholders throughout project lifecycles to align on priorities, impact, and implementation Understand and measure the impact of new product features and fraud trends What do 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, Time series forecasting etc. Knowledge of data structures and algorithms 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 Ability to translate complex problems into structured, scalable solutions Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting etc. Good business judgment with demonstrated ability to think creatively and strategically Highly organized, self-driven, and focused on delivering high-impact work Experience in project/program management (a plus). Experience in fraud/risk, financial systems, or fintech domains such as banking, credit, or payments (a plus) Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 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: Click Here to learn more about our culture and community. 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. PayPal is on a mission to revolutionize commerce globally. We’re driving our company, industry, and society forward with vision and velocity. With our commitment to excellence, innovation, and talent, the possibilities are limitless. Learn more at PayPal.com/Jobs Learn more about privacy-related questions or data retention. If you would like your profile to be deleted from our system, please let us know Please note that this site has updated features that can’t run on older versions of Internet Explorer. Please use IE11 or MS Edge for an optimal experience. When applying for a job you are required to create an account, if you have already created an account - click Sign In. Creating an account will allow you to follow the progress of your applications. Our system does have some requirements that will help us process your application, below are some guidelines for creation of your account: Provide full legal First Name/Family Name – this is important for us to ensure our future hires have the right system set up. Please Capitalize first letter of your First and Last Name. Please avoid using fully capitalized text for your First and/or Last Name. NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID. Please note that this site has updated features that can’t run on older versions of Internet Explorer. Please use IE11 or MS Edge for an optimal experience.

Responsibilities

As a Data Scientist, you will analyze complex fraud-related problems and apply data science techniques to identify optimization opportunities. You will drive projects from ideation to implementation while collaborating with cross-functional teams to translate business needs into scalable data science tools.