Responsibilities

• Create and maintain machine learning based detections to prevent fraud and abuse of Microsoft Identity services
• Analyze new data sources and research new patterns and techniques that can be used in an automated detection.
• Set up and track metrics to assess the quality of our detections, so we can improve and adapt in real time.
• Leverage data gathered by the different teams and services to build new detection algorithms.
• Help the team achieve its mission by participating in incident resolution and investigations on identity attacks. 

Qualifications

• A strong background in statistics and machine learning.
• 5 years of  experience solving problems through modeling, measurement, and data analysis.
• Proficient in data analytics languages (SQL, R or Python) and some programming experience (C#, C++, Java..)
•  Experience with reporting and data visualization.
• Strong communication skills with other data scientists and with partners from other domains
• MS/PhD in computer science, machine learning, statistics, or quantitative domain
• Previous experience in any of the following: identity systems, security, threat intelligence, fraud, or abuse.