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Data Scientist, PayPal P2P Payments in Guatemala, Ciudad de Guatemala, Guatemala at PayPal

Date Posted: 6/13/2022

Job Snapshot

Job Description

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.

PayPal product analytics is hiring a data scientist who can unlock new insights to take PayPal P2P business to new heights. If you have the drive, tenacity and grit to execute, measure, and move fast, you’ll thrive on our team. We are highly customer-centric and believe deeply in doing our best work on behalf of customers. This role demands problem solving, partnership and a passion for digging through data to gain insights that add value to the business.

Job Responsibilities:

  • Identify new growth opportunities through deep dive analyses leveraging our rich datasets of user behavioral and transactional data
  • Translate ambiguous, unstructured business problems into actionable data-driven analyses
  • Learn to craft a compelling story and present recommendations across teams and levels including both technical and non-technical audiences
  • Help to launch, measure, and scale new solutions to create seamless consumer experiences and drive incremental revenue
  • Size potential impact of new ideas and help prioritize product roadmaps based on impact

You have:

  • B.S. in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees a plus
  • 1+ year of data science, analytics, or consulting experience
  • Ability to break down large datasets and synthesize inputs from multiple sources
  • Experience with at least one querying language (e.g. SQL) and/or one scripting language (e.g. Python), comfortable with working with large, complex, and potentially messy datasets
  • Understanding of statistics (e.g. hypothesis testing, statistical inference, regression), experience designing and evaluating complex experiments a plus
  • Strong interpersonal and communication skills
  • Experience with visualization tools such as Tableau a plus, experience with building machine learning models a plus

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

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 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

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.