Data Scientist

AppsFlyer is a cutting-edge technology company that specializes in mobile attribution and marketing analytics. We run at a massive scale- t any given moment thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests and communicating on a massive scale. Fueled by the AppsFlyer platform, Protect360 is the leading anti-fraud solution in the market, protecting advertisers from fraudulent traffic and saving millions of dollars for our customers. We detect fraudulent traffic (fake installs and attribution hijacking attempts) in real time using machine learning, deep learning, and advanced AI techniques applied on massive data streams. We’re looking for a data scientist to join our team and further improve fraud detection capabilities. This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats. A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more What you'll do Mine massive data sets to uncover fraud patterns and prevention opportunities. Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity. Translate business and product nee