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The AI and Data Sciences team in Microsoft 365 Security and Compliance organization is looking for an experienced, energetic, and hands-on Data Scientist. Intelligence is at the core of the value we provide to customers in the form of our M365 Security and Compliance suite of products and services. It drives the out-of-the-box protection capabilities that customers of all sizes and skillsets rely upon to manage their organizations; it provides the context and insight for customers to understand their risk and required actions; it demonstrates Microsoft’s expertise which builds customer trust and increased market share, further improving our intelligence capabilities. Security & Compliance research is the engine that pioneers, delivers and sustains this intelligence as well as ensuing capabilities. Our security group focuses on protecting customers against social engineering attacks such as phishing across our browsers, email, and chat – and within this charter, web scale machine learning is a fundamental part of how we protect customers, with an advanced M365 Defender suite. We are seeking an experienced an applied scientist to build and expand our cross-service, signal-based protections using state-of-the art techniques spanning the areas of supervised and unsupervised machine learning. We are looking for candidates who are passionate about leading and pushing forward the cutting-edge technology and the state-of-the-art solutions.
Job Responsibility:
Invent and build AI‑driven agents and systems that transform how we analyze entities, telemetry, and behavioral data—pushing the boundaries of modern social engineering threat detection and protection
Turn deep analysis into decisive action by generating insights that drive durable detection and prevention strategies across the full attack kill chain, exposing protection gaps and directly influencing product improvements
Operate with high autonomy and ownership, defining the right technical approach and designing, improving, or creating novel data science and ML models that deliver measurable impact to Microsoft products and services
Collaborate across research, engineering, and partner teams—both internal and external—to establish new partnerships and strengthen existing ones that accelerate product maturity and unlock richer insights
Communicate complex findings with clarity and impact, distilling results into compelling narratives through data visualizations, infographics, and written and verbal briefings for researchers, developers, and engineers
Requirements:
Bachelors/Master’s degree with relevant course work toward Computer Science, Data Science, Statistics, Machine Learning, Data Mining, and equivalent work experience
3+ years of professional experience in a technical role building and deploying ML solutions at scale for real-world problems
Proficiency in using statistical/analysis/ML tools, defining, and implementing intelligent solutions on data
Skilled working with large data sets, using big data tools and scripting languages such as: Excel, SQL, Python, Matlab, R, C, and/or PowerBI
Excellent cross-group and interpersonal skills, with the ability to articulate solutions
Nice to have:
Experience with deep learning applied to areas such as graph learning, IR, NLP, computer vision, etc., are preferred
Additional experience in areas like cyber security, fraud detection, would be beneficial, but not mandatory