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

• 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 needs into scientific, explainable, and high-impact solutions.
• Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
• Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
• Stay current with AI and ML research and evaluate new technologies to strengthen Protect360’s algorithms.

As a global company operating from 20 offices worldwide, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.

“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO