New 
Applied Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 22, 2025 | |
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OverviewSecurity represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms,devices,and clouds in our customers' heterogeneous environments, as well as ensuring the security of our own internal estate. The Central Fraud and Abuse Risk (CFAR) team builds innovative, intelligent, and scalable risk solutions that protect Microsoft's customers and services from abuse and fraud. We combine deep securityexpertise, high-quality data, and engineering excellence to enable real-time and strategic decision-making. We value inclusivity, experimentation, collaboration, and a growth mindset. We are looking for a Applied Scientist who is passionate about machine learning, eager to innovate, and committed to protecting users through data-driven technologies. In this role, you will developstate-of-the-artmachine learning solutions that power real-time fraud and abuse detection and decision-making. Your work will directlyimpactMicrosoft's ability to prevent abuse, reduce financial and reputational risk, andoptimizekey performance indicators (KPIs) across our risk ecosystem. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesJob responsibilities: You will understand where toacquirethe data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. Explore data for key attributes and collaborate with others to perform data science experiments using established methodologies. Understand modeling techniques, select the correcttooland approach to completeobjectives, and evaluate the output for statistical and business significance. Analyze model performance and incorporate customer feedback into its evaluation. Understand the current state of the industry, including current trends, so that you can contribute to thought leadership best practices.You'llalso write efficient code for a specificfeature, anddevelop a workingexpertiseof proper debugging techniques. Understand device fingerprinting techniques,analyze the device attributes collectedfordevice fingerprinting, identify anomalous attributes within sessions as well as across sessions. Developtechniques to devise a unique device identifiergiven the device attributes. Understand theend to endprocessesof thereal timedecision platform, e.g., where theAPI is defined,what the API payload looks like, how wedo feature engineering,where we deploy our models,how wemonitor thedata flowandhow wemanage rules, among other things. Understand each customer's business goalsandderive actionableinsightsvia data analysesto meet the goals. You will examine projects through a customer-oriented focus and manage customer expectationsregardingproject progress. You will alsopresentthefindingtobusiness stakeholders. Understandbest practices foridentifyinggrowth opportunitiesand endeavor to stay current with thelatest trends in machine learning, fraud detection, and abuse prevention. Understand how toshare knowledge and contribute to CFAR'sinnovationculture. Embody our culture and values | |