At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary:

PayPal’s Risk as a Service Data Scientists are comprehensive analytical experts who collaborate with a team of technical and business industry experts, to ensure that their customers are successful in their deployments in catching fraud and malicious activities. They continually improve and apply their technical knowledge and analytical skills across the product suite at every level of the customer.

Job Description:

Meet Our Team

Our team is highly motivated, enthusiastic, and client-focused. We do whatever is necessary to empower PayPal’s merchants to fight fraud in their businesses. If you are a fast learner, and willing to solve problems in the fraud space at scale, we would love to talk with you.

Job Description

Your way to impact.

As a successful Data Scientist, you will build upon the products and provide subject matter expertise to ensure that they can not only design, implement, and deploy a successful fraud solution, including machine learning models and data analysis, as well as be able to explain and design the solution together with the client's business team, leading to happy customers.

Your day to day

In your day-to-day role, you will

Work closely with multiple large & strategic customers to consult, design, develop, and manage real-time end-to-end fraud risk solutions that not only solve emerging fraud trends but also provide a great experience to end customers.
Mentor and coach junior Data Scientists and Decision Scientists on data analysis, machine learning, design, and implementation of fraud detection strategies
Analyze and transform data using RaaS platforms to identify fraud patterns and optimize the systems to flag these patterns.
Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers.
Be a strong subject matter expert on PayPal’s RaaS platforms, as well as developing risk solutions in specific fields (banking, finance, e-commerce, etc).
Lead and participate in special initiatives: innovate and implement large-scale quality improvements to processes and/or systems by conducting data analysis and making recommendations, troubleshooting technical issues, and refining processes.
Identify areas of improvement in internal systems and product, design, and project manage solutions end to end.
Independently execute projects end to end, while also mentoring and guiding junior team members, with a strong people-oriented mindset
Make business recommendations to the executive and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.
Collate feedback from clients and work with cross-functional teams to recommend, design, and implement new product features.
Work with engineering teams to ensure best practices are followed for product deployment and solution implementation.
Train the customer on how to understand fraud trends and the use of PayPal RaaS’s product.
Improve the products with innovative ideas driven by customer feedback; work with the product development team to incorporate the feedback into the platforms.

What do you need to bring-

Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
A minimum of 7 years of experience in advanced Data Analysis, Research, Risk and Fraud Investigation, or Internet Industry
Experience with leading, mentoring, and coaching junior team members on data science, data analysis, and designing, and implementing projects end to end.
Experience in one of the following areas: eCommerce, online payments, user trust/risk/fraud investigation/product abuse
Experience with Python, SQL, R, or JavaScript
Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.
Outstanding leadership, influencing, communication, interpersonal, and teamwork skills

** **We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don 't hesitate to apply.**

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.

The U.S. national annual pay range for this role is

$84500 to $204600

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.

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

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.

Any general requests for consideration of your skills, please Join Our Talent Community.

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

Senior Data Scientist