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Security is one of the most critical priorities for our customers in a world challenged by relentless digital threats, increasing regulatory demands, and complex technology estates. At Microsoft Security, our aspiration is clear: to make the world a safer place for everyone. We aim to redefine security by empowering every user, customer, and developer with a comprehensive security cloud—delivering end-to-end protection through simplified, integrated solutions. Our organization accelerates Microsoft’s mission and bold ambitions by safeguarding digital platforms, devices, and clouds across diverse customer environments, while ensuring the security of our own internal estate. We are looking for a Data Scientist to join our team! The Identity Threat Detection and Response (ITDR) Security Research team leads advanced research in Identity protection, leveraging next-generation AI and cloud technologies. Our team comprises globally recognized experts in identity and cloud-related threats—highly skilled, passionate professionals committed to driving innovation and safeguarding customers in an ever-evolving
Job Responsibility:
Build algorithms and innovative methods to discover and defend real world sophisticated cloud-based attacks in SaaS ecosystem
Collaborate with other data scientists to develop machine learning systems for detecting anomalies, compromises, fraud, and non-human identity cyber-attacks using both Gen AI and graph-based systems
Identify, integrate multiple data sources, or types of data, and develop expertise with multiple data sources to tell a story, identify new patterns and business opportunities, and communicate visually and verbally with clear and compelling data-driven stories
Analyze extensive datasets and develop a robust, scalable feature engineering pipeline within a PySpark-based environment
Acquires and uses broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the scientific literature and applies his or her own analysis of scalability and applicability to the formulated problem
Work across Threat Researchers, engineering, and product teams to enable metrics for product success
Contribute to active engagement with the security ecosystem through Research papers, presentations, and blogs
Provide subject matter expertise to customers based on industry attack trends and product capabilities
Requirements:
5+ years of programming language experience like C/C++/C/Python required and hands on experience in using technologies such as Spark, Azure ML, SQL, KQL, Databricks, etc.
Able to prepare data pipelines and feature engineering pipelines to build robust models using SQL, PySpark, Azure Data Studio etc.
Knowledge of Classification, Prediction, Anomaly Detection, Optimization, Graph ML, NLP
Candidate must be comfortable in manipulating and analyzing complex, high dimensional data from various sources to solve difficult problems
Knowledge of working in cloud-computing environment like Azure / AWS / Google Cloud
Proficient in Relational Databases (SQL), Big Data Technologies (PySpark). Azure storage technologies such as ADLS, cosmos DB, etc.
Bachelor's or higher degrees in Computer Science, Statistics, Mathematics, Engineering, or related disciplines