Security 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. 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. The Microsoft Defender for Endpoint (MDE) Research Team is dedicated to safeguarding over 1 billion endpoint devices globally from cybersecurity threats using cutting-edge technology and innovation. As cyber-attacks grow more sophisticated, MDE assists consumers and enterprises in detecting, investigating, and automatically disrupting advanced attacks and data breaches on their networks. We are looking for a new team member who is passionate about data science and data engineering to help us leverage the latest research and innovation to protect Defender customers. Our team operates as an agile unit, experimenting with the latest tools and technologies to design and implement solutions for critical business challenges, such as measuring protection effectiveness and applying generative AI to enhance Defender protection. As business needs evolve and technology advances, our projects remain dynamic, and therefore we are seeking a new team member with the mentality for critical problem solving, adaptability, and a strong desire to learn. _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._ **Responsibilities** As a Senior Data Scientist, you will: + Use data science and statistical processes and methodologies to design, implementand visualizemeasurements relevant to Microsoft Defender business prioritiesleveraging both structured and unstructured data. + Explore and analyze implications of data to determine the most significant elements, identify common elements and themes, generate alternatives and understand consequences of each alternative and derive relevant insights and conclusions to influence investment strategy. + Contribute to creation and orchestration of data pipelines and data quality validation over large, complex data sources and schemas, + Facilitate the quality ofapplied science experiments through exploration and development of usable data sets, data visualization, monitoring, and alerting pipelines. + Influence leaders across Microsoft Security to ensure cutting-edge technology is being matured in a practical way that meets key business opportunities of significant scope and impact. + Collaborateand communicate effectively with stakeholders including other defenders including researchers, engineers, threat hunters, and product managers on business objectives, dependencies/requirements, and results. + Produce reliable and performant code, conduct design and code reviews to ensure alignment with standards and best practices, and follows release management policies to ensure data integrity, compliance, system stabilityand responsible AI standards. **Qualifications** **Required/Minimum Qualifications:** + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results. + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). + OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). + OR equivalent experience. + 2+ years of experience in data engineering, data modeling or analytics with large scale datasets. **Other Requirements:** Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter. **Additional or Preferred Qualifications:** + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results. + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). + OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)). + OR equivalent experience. + 2+ years of hands-on experience with machine learning frameworks + Problem-solving skills, proactive approach to identifying and mitigation risks, ability to adapt and overcome challenges, and attention to detail + Practical experience with big data concepts and tools such as Spark, BigQuery, MapReduce, Data Lakes or other related technologies. + Interest in  generative AI/ agentic frameworks, multi modal models, training and fine-tuning of transformer-based models, information retrieval or reinforcement learning. Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs and  + Experience in cybersecurity domain. Data Science IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until February 28, 2025. **\#MSECAIR #MSFTSecurity** **\#MSFTNSBE25** Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .