New 
Applied Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Sep 12, 2025 | |
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OverviewThe Cloud & AI 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. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Microsoft is one of the largest enterprise service companies in the world. We are hiring an Applied Scientist for the MSRC Data Science team. The MSRC Data Science team is responsible in building data pipelines, data mining, ML models and insights on security related data. We combine our data science work with business and engineering knowledge to provide unique insights into customer scenarios that are leading the data-driven culture within security. We hire people with a desire to build great products and make business impact using data analysis, machine learning, experiments, data mining, data visualization, and more. We welcome applications from diverse multi-disciplinary backgrounds, with analytical skills, engineering abilities, communication skills, business interests, relentless curiosity, and a desire to improve the experiences of more than one billion customers.For this specific role, we are looking for a Senior Applied Scientist deeply experienced using data to measure and improve Microsoft's security posture. This role will be accountable for designing, helping implement, extending, adapting, and evaluating results of methodologies that are core to our system we're building to measure and improve product security risks.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.In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
ResponsibilitiesWorking with the business to understand a real-world scenario and translate it into a machine learning problem and think of optimal ways of solving it. Outline alternative approaches and identify pros, cons, risks and provide recommended approach.Performs documentation of work in progress, experimentation results, plans, etc. Documents scientific work to ensure process is captured. Participates in the creation of informal documentation and may share findings to promote innovation within group.Data wrangling, data analysis and transforming large data sets to build scalable pipelines.Use Machine Leaning and Deep Learning techniques to build prediction models on structured and unstructured data.Improve the performance and run-time of ML modelsCollaborate with PMs to plan and prioritize ML deliverables as part of broader business initiatives, ensure delivery according to the planned schedule.Keep up to speed with the current academic and industry advances in machine learning techniques, experiment with their application to improve our ML models.Work in collaboration with teammates to ensure reliable and trust-worthy data for critical business decisions to improve reliability, scalability, and efficiency.Build data processing tools, libraries, frameworks and performing and getting insights from data analysisLearning and using tools like Azure ML, Azure Data Factory, Python and more public and Microsoft internal toolsEnsure the solutions are stable, supportable, extensible, and trusted by our business partners.Embody our culture and values | |