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Machine Learning Team Lead in Tel Aviv, Tel Aviv District, Israel at PayPal

Date Posted: 1/10/2022

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.

We are looking for an analytical, articulated and results-driven manager to join PayPal’s Global Data Science team in Tel Aviv. The team builds sophisticated machine learning solutions to prevent unauthorised and fraudulent activity in PayPal’s accounts. These solutions significantly impact our customer experience and protection and directly contribute to PayPal’s financial performance.

About The Role:

As a ML manager you will be responsible for:

  • Leading a team of highly skilled ML scientists

  • Working with partners to translate business challenges into Data Science problems and analyze various kinds of data to produce actionable insights

  • Planning the team’s work and vision, execute the plan on-time with the expected benefits

  • Building large scale (all PayPal transaction 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.


  • Team management experience
  • Minimum 4 years of relevant work experience developing data science/ML solutions
  • Masters, PhD, 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



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