Principal Data Scientist

Principal Data Scientist Microsoft Cloud Hardware Infrastructure Engineering (CHIE) is the team behind Microsofts expanding Cloud Infrastructure and responsible for powering Microsofts Intelligent Cloud mission. CHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate, highenergy engineers to help achieve that mission. The Cloud Hardware Analytics & Tools (CHAT) Team within SCHIE develops advanced analytical and tooling solutions to support and improve the quality of Microsoft Azure. CHAT Data Science & Engineering, a branch of CHAT, provides data science support, machine learning and artificial intelligence solutions, and advanced visualizations to cloud engineering and management partners. We are looking for a Data Scientist and AI expert to support our custom data analytics and visualizations platform as well as building and implementing AI solutions across our division. This highimpact role combines software engineering with data science, and will have direct contributions to Azurelevel projects, including working with highly visible platforms through datadriven approaches. This role closely collaborates with BI and Data Engineers, Software Engineers, other Data Scientists, Program Managers, and HW Engineering teams. We further use that data to power AI solutions across the SCHIE org designed to improve efficiency, quality and innovation and our looking for Principal Data Scientist to join our team Responsibilities Identify opportunities to leverage both custombuilt and existing AI solutions to drive business impact across the division. Design and develop complex software systems, ensuring scalability, performance, and maintainability. Architect and implement AIdriven solutions to solve realworld business challenges. Stay current with emerging trends, tools, and best practices in AI and related technologies. Collaborate crossfunctionally with teams in a dynamic, fastpaced environment to deliver highimpact solutions. Qualifications Required/minimum qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years datascience 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 7+ years datascience 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 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 7+ years industry experience 1+ years of handson experience working with AI solutions in the industry Other Qualifications 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 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 8+ years datascience 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 10+ years datascience 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 12+ years datascience experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Data Science IC5 The typical base pay range for this role across the U.S. is USD $139,900 $274,800 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 $188,000 $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: Microsoft will accept applications for the role until November 17th, 2025. 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. #J-18808-Ljbffr