Data Scientist, Fraud - Novi

    • Tel Aviv, Israel

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

In June 2019 the Libra Association announced plans for Libra - a new global cryptocurrency that runs on the Libra network. Libra's mission is to create a simple global financial infrastructure that empowers billions of people around the world. It's powered by blockchain technology and the plan is to launch it in 2020. Novi is a newly formed Facebook subsidiary whose goal is to provide financial services that will enable people to access and participate in the Libra network. Our first product will be a digital wallet for Libra, a new global currency powered by blockchain technology, and it will be available in 2020 in Messenger, WhatsApp, and as a standalone app. Our vision is to reinvent money and transform the global economy so people everywhere can live better lives. Novi will let you send Libra to almost anyone with a smartphone, as easily and instantly as you might send a text message or photo, and at low to no cost. And, in time, we plan to offer additional services for people and businesses, such as paying bills with the push of a button, buying a cup of coffee with the scan of a code, or riding your local public transit without needing to carry cash or a metro pass.
We're looking for Data Scientists to join our fraud prevention team and play an active role in protecting our 2B users across the globe. We prevent fraud by using advanced detection tools that scan billions of data points to identify signs of activities that violate our policies. Our Fraud Data Scientists analyze data to generate insights about fraud patterns and develop detection capabilities and decision policies to prevent them. They also build the high-level view of the ecosystem to determine where we should focus and what are the new detection / ML capabilities we should develop.
You will enjoy working with one of the richest data sets in the world, cutting-edge technology, and the ability to see your insights turned into real products on a regular basis. You will make a real and meaningful impact on the world. The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets, and will have some experience in data-driven decision making related to fraud prevention. This position is located in our Tel Aviv office.

  • Own your domain end to end. Determine the types of fraud to be managed and utilize Facebook's rich data sets to build real time detection and decisioning capabilities.
  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand fraud and how to prevent it.
  • Define and monitor key metrics. Understand changes in key metrics and identify new levers to help move them.
  • Partner with Product and Engineering teams to build experiences that will support fraud prevention efforts
  • Communicate the state of business, experiment results and recommendations to a cross-functional team and leadership
  • 3+ years of experience doing a quantitative analysis for fraud prevention purposes
  • BA/BS in Computer Science, Math, Physics, Engineering, Statistics, Economics, Accounting or another technical field.
  • Experience in SQL or other programming languages.
  • Understanding of statistics (e.g. hypothesis testing, regressions).
  • Ability to communicate the results of analyses.
  • Development experience in any scripting language (PHP, Python, Perl, etc.)

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