כאן תמצאו את ג׳וב החלומות שלכם

We are looking for a skilled Data Scientist to develop a fraud and anomaly detection module by leveraging logs and information collected by our existing platform, combined with mobile operator data. The goal is to design, implement, and optimize algorithms and machine learning models to detect anomalies in eSIM profile downloads.
What will your task look like?
– Collect, analyze and interpret data sets from various sources, including Amdocs eSIM platform logs and mobile operator data.
– Synthetic data generation to train and challenge the model
– Perform data analysis and preprocessing to uncover patterns and improve detection accuracy.
– Choose algorithms, develop machine learning models to identify and prevent fraudulent
activities.
– Monitor and improve the performance of models.
– Collaborate with with cross-functional teams.
– Document the development and design decisions.