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PayPal Decision Scientist 11 in Sao Paulo, Brazil

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 305 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.

Simility’s Decision Scientists are comprehensive technical product experts who collaborate within a team of industry experts and data scientists, 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 skills across the product suite at every level of the customer engagement.

The successful Decision Scientist will build upon the product and subject matter expertise to ensure that they can not only design, implement and deploy a successful machine learning driven fraud solution but can also explain the solution to client business team, leading to a happy customer.

Customer related work being one part of the Decision Science role within Simility, Decision Science team members also spend significant time solving problems that affect many parts of the organization, including domain-driven research, technical product innovations and process improvements to continuously contribute to the success of Simility.

Primary Responsibilities:

  • Work closely with multiple international customers to consult and strategize on the approach in tackling fraud and ensure that Simility is solving their fraud problem.

  • Be a strong subject matter expert of Simility’s platform as well as developing risk solutions in specific fields (banking, finance, ecommerce, etc).

  • Help understand the main customer issues around fraud and compliance. Understand the nature of the data that is provided and work with the customer to create and finalize a data schema that meets their needs.

  • Perform in-depth analysis on data sets to detect anomalies and to understand the key parameters that may be indicative of fraud.

  • Analyze and transform data using the Simility platform to identify fraud patterns and optimize the system to flag these patterns.

  • Work with a dedicated data science and engineering team using a state-of-the-art technology stack to design and implement data driven solutions that operate at scale and in real-time.

  • Make business recommendations to the executive and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.

  • 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.

  • Communicate insights and findings back to the team to contribute to overall teams’ success.

  • Train the customer on how to understand fraud trends and the use of Simility product.

  • Improve the product with innovative ideas driven by customer feedback; work with the product development team to incorporate the feedback into the platform.

Qualifications and Experience:

  • BA/BS or MA/MSc Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.

  • A minimum of 2 years of experience Data Analysis, Research, Risk and Fraud Investigation, Online Payment or Data Science.

  • Programming experience, preferred in Python, R is a plus.

  • Fully proficient in Portuguese

Preferred Experience and Skills:

  • Risk and fraud detection experience is highly preferred but not required.

  • Understanding of online payment processing is a plus.

  • Industry experience in one of the following areas: online payment, fintech, eCommerce, online advertising and publishing.

  • Project Management experience preferred

  • Experience in working in a client facing role and being a customer champion.

  • Working in a highly international and distributed team.

  • Ability to clearly articulate and confidently present findings and technical details toexecutives and a non-technical audience.

  • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, charisma, and ability to work with your team to make a big impact.

  • Previous experience working with Spark, SQL/Hive, JavaScript and UNIX

About Simility, a PayPal Service

Simility, a PayPal Service, is an end-to-end fraud management platform helping large merchants, banks, and other Fortune 1000 companies manage fraud and risk. Our systems help enterprises detect fraudulent events real-time and help protect these enterprises from online threats. We do so by creatively harnessing the power of data, machine learning, and humans and be on the cutting edge of fraud detection techniques and algorithms. Simility welcomes big thinkers and passionate team players, who are ready to take their career to the next level.

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 paypalglobaltalentacquisition@paypal.com.

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