• Manage our huge data sets using machine learning, statistics, and analytics techniques to find and identify fraud prevention opportunities
  • Research design and implement solutions to prevent fraud
  • Lead and execute continuous data analysis and provide insights while working closely with technologists and developers throughout AppsFlyer’s development process to bring analytical insights to life
  • Work on machine learning projects, including feature engineering and model training
  • Communicate data findings to business, product and engineering teams

Preferred Requirements

  • M.Sc/ Ph.D. in relevant field
  • Highly experienced in Spark, Hadoop, ElasticSearch and other big data technologies
  • Ability to perform independent work and combine ideas from various fields in tackling hard data-problems.
  • Experience with large scale/distributed systems in production
  • Recommended by an AppsFlyer employee 


Are you a total data addict who likes to get his/her hands dirty? Do you want to work with one of the largest data sets in the mobile world? We’re looking for a talented pioneering spirit to join our team and help make data-driven decisions. This position involves analyzing evolving fraud patterns and developing fraud prevention components by leveraging domain expertise, analytics, and data science methods. The ideal candidate will be a problem solver with strong analytical skills who loves slicing and dicing numbers. He/she should also be a good listener who can distill the numbers into actionable steps to ensure that the AppsFlyer platform remains at the top of its class.


  • Bachelor’s degree or above in one of the following fields: Mathematics, Statistics, Computer Science, Electrical Engineering (or any other relevant field)
  • At least 2-3 years working in data related fields, preferably in machine learning, advanced data analysis or statistical inference.
  • Good programming skills in Python/Java/Scala/R.
  • A “can-do” approach
  • Excellent communication skills, and ability to work in a team
  • Strong spoken and written English
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Confirmed 3 hours ago. Posted 30+ days ago.

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