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Data Scientist in Guatemala City at PayPal

Date Posted: 4/10/2021

Job Snapshot

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Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 375 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

We are looking for a Data Scientist with a positive attitude, an awesome team player, a customer champion, a rock star in preventing online fraud who has a data driven mindset that can help upscale our risk detection capabilities and provide innovative solutions based on automation, efficiency and accuracy in a high energy, fast paced, ever evolving environment.

Xoom, A PayPal Service, is revolutionizing the global digital money services market by providing people with an easy, convenient, and cost-effective means of sending money worldwide. We offer a secure, fast, and inexpensive means of sending money, paying bills and topping up prepaid services across multiple digital platforms to both online and offline recipients in over 160 countries and counting.


  • Works on multiple assignments simultaneously and in all areas of a standard project in the area of responsibility related to managing and mitigating Xoom financial loss caused by fraud risk (ACH returns, card chargeback and account take-over).
  • Accountable for own results. Reviews are mainly for consultation and sharing ideas
  • Focuses primarily on how to achieve overall analytic objectives of a project with speed and quality.
  • Suggests ideas for operational and analytical plans and objectives 
  • Clear subject matter expert who can help mentor and coach junior risk analysts or data scientist
  • Works independently and proficiently on multiple assignments simultaneously with speed and quality
  • Has working knowledge of internal and external business processes, and data, systems and flows, as well as analytic tools, processes, and methodologies to achieve the expected results with minimum supervision
  • Has a good understanding of Risk business trends and directions to be able to put own work in the broad business context
  • Identify glitches in processes and tools and develop and execute solutions to overcome general issues and obstacles with little supervision.
  • Learning in-depth analysis of alternatives and applying specialized knowledge
  • Impact of decision has moderate reach
  • Seeks improvement within defined tasks. Understands, evaluates, and executes improvement ideas from supervisors. 
  • Build risk related variables based on fraudulent trends and insights
  • Partner with key stakeholders to design new risk platform to ensure better quality of risk strategies


  • Segmentation strategies based on statistical modeling
  • Data analysis and visualization
  • Machine learning
  • PySpark, Python
  • SQL
  • Hadoop / Hive
  • Unix
  • Executive/Senior Manager presentation skills
  • Story telling skills


  • Master’s degree, or foreign equivalent, in Statistics, Mathematics, or closely related quantitative discipline plus four (4) years of experience in the job offered or four (4) years of experience in the field of data analysis or statistical analysis
  • OR Bachelor’s degree, or foreign equivalent, in Statistics, Mathematics or closely related quantitative discipline plus six (6) years of experience in the job offered or six (6) years of progressively responsible experience in the field of data analysis or statistical analysis.

We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

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



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