Data Scientist
AppsFlyer is seeking a Data Scientist to enhance their Protect360 anti-fraud solution by analyzing fraud patterns and developing advanced prevention components. The role involves designing and maintaining end-to-end ML pipelines and collaborating with product and engineering teams to deploy large-scale ML, DL, and AI models.
AppsFlyer is a cutting-edge technology company specializing in mobile attribution and marketing analytics, operating at a massive scale with thousands of servers consuming over 150+ billion mobile app events. Fueled by the AppsFlyer platform, Protect360 is the market-leading anti-fraud solution, protecting advertisers from fraudulent traffic and saving customers millions of dollars. Protect360 detects fraudulent traffic (fake installs and attribution hijacking attempts) in real-time using machine learning, deep learning, and advanced AI techniques applied to massive data streams.
We are 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 includes: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more.
Posted June 2, 2026