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
• 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 

Preferred: 

• 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.