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Machine Learning Scientist in Tel Aviv, Tel Aviv District, Israel at PayPal

Date Posted: 1/7/2022

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. We’re a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We’re guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world.

PayPal is a global leader in online payments and democratization of financial services, providing payment solutions for hundreds of millions of customers all over the world. As a Machine Learning Scientist in PayPal’s Global Data Science organization, you will have an impact on PayPal’s Merchant and Consumer products all around the world, developing Machine Learning solutions to solve sophisticated problems in the domain of fraud detection. Making use of PayPal’s endless amount of data, you will leverage your data and machine learning skills, for research and delivery of end-to-end Data Science solutions. If you are a data enthusiast with sharp analytical skills and a passion for deriving new insights from unimaginable amounts of data, solving unique challenges, leveraging machine learning algorithms, and working in a highly collaborative, values-driven environment – then PayPal’s Global Data Sciences (GDS) is looking for you.

As a Machine Learning Scientist you will be responsible for:

  • Developing Machine Learning solutions to solve sophisticated problems in the domain of fraud detection
  • Working with partners to translate business challenges into Data Science problems and analysing various kinds of data to conclude actionable insights
  • Building large scale (all PayPal transactions or logins!) end-to-end data solutions in close collaboration with our engineering teams
  • Transforming large amounts of complex data into business insights and solutions by using the latest technology in machine learning, innovation and analytic methodologies.

Requirements

  • Minimum 3 years of relevant work experience
  • Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
  • Code writing capability in any programming language (preferably Python, R, Java, Scala, etc.) and familiarity with relevant ML packages
  • GCP/Hadoop and big data experience – an advantage
  • High level communication skills
  • Team player, responsible, delivery-oriented
  • Excellent spoken and written English

For more than 20 years, PayPal has remained at the forefront of the digital payment revolution. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, our open digital payments platform gives PayPal’s 400 million active account holders the confidence to connect and transact in new and powerful ways. 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.

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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