About the job
Join AppsFlyer, a pioneering technology firm at the forefront of mobile attribution and marketing analytics, as we tackle fraud in the digital landscape.
Our platform operates on a grand scale, processing over 150 billion mobile app events daily, utilizing thousands of servers to analyze user data and respond to requests.
With our innovative Protect360 solution, we provide top-tier anti-fraud protection, safeguarding advertisers from deceptive traffic and saving millions for our clients.
We employ cutting-edge machine learning, deep learning, and advanced AI techniques to detect fraudulent activities like fake installs and attribution hijacking in real-time.
We seek a Data Scientist to enhance our fraud detection capabilities. This role involves analyzing dynamic fraud patterns, developing and deploying sophisticated prevention strategies, and using your expertise in data tools and AI to combat emerging threats.
Your Responsibilities
- Analyze large datasets to identify patterns of fraud and opportunities for prevention.
- Design and implement scalable ML, DL, and AI models for fraud detection and prevention.
- Translate business requirements into scientific, impactful, and explainable solutions.
- Build and maintain comprehensive ML pipelines from data ingestion to production monitoring.
- Collaborate with cross-functional teams to promote data-driven decision-making.
- Stay updated with the latest in AI and ML research to enhance Protect360's algorithms.

