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Principal Data Scientist in Tel Aviv at PayPal

Date Posted: 4/3/2021

Job Snapshot

  • Employee Type:
  • Location:
    Tel Aviv
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
  • Job ID:

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 Principal Data Scientist to join PayPal’s Global Data Science team in Tel Aviv. Our team’s goal is to provide the best data science solutions to prevent fraud from entering our eco-system through onboarding and lifecycle management while optimizing the business outcomes and customer experience. These solutions affect PayPal’s entire population of users and transactions, and directly contribute to PayPal’s financial performance.

Primary Job Responsibilities

As a Principal data scientist your responsibilities will include:

  • Research and experimentation with state-of-the-art machine learning algorithms to solve business problems in the fraud prevention domain.

  • Mentoring other data scientists in the group. Improving and innovating on our data science practices, methodology and projects.

  • Shaping  the business, data science and research directions across several teams as a member of the group’s senior staff

  • Contributing to the data science community at PayPal Israel.

  • Influencing large scale projects and initiatives to advance our machine learning capabilities.


  • PhD in Computer Science, Electrical Engineering, Operations Research, Mathematics, Physics, or equivalent, preferably with a focus in machine learning / AI.

  • Minimum 5 years of relevant work experience.

  • Expertise in machine learning algorithms and tools such as Tensorflow, Keras and Pytorch.

  • Expertise in coding in at least one major programming language (e.g. Python, C++ or Java)

  • Experience in deploying machine learning products in live production environment – an advantage

  • Exprience in MLOps methods – Docker, Kubernetes Etc – an advantage

  • Hadoop, Spark, SQL and big data experience – an advantage

  • Team player, responsible, delivery-oriented

  • High level communication skills

  • Excellent spoken and written English

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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