Cloud Computing is one of the most important initiatives for Microsoft. It is a highly competitive and rapidly growing market and we aim to win it. The Azure Compute Analytics and Insights team is a growing Agile team tasked with turning our incredibly rich and Big data into strategic assets that will drive business and engineering goals and efforts. As a Data Scientist, you will be helping to build tools and analytics purposed at improving the availability and reliability of Azure Compute resources with a focus on leveraging emerging Large Language Models (LLM) technologies to improve operational efficiency. We’re looking for a full stack Data Scientist who is comfortable coding and performing data engineering. The ideal candidate should have a passion around turning data into meaningful analytics that impact the business. As a member of our team you would be helping to analyze causes of interruptions to Azure Virtual Machine (VM) and deliver insights to executive leadership to inform overall Azure strategy and directly to customers to improve their satisfaction with Azure. If you’ve dreamed of having global impact and love working with data to create huge business value, come talk to us today! 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** + You will help with initial data collection and understand which analysis techniques are appropriate and which tools are necessary for data exploration. You’ll also develop a foundational understanding of methodology and standard statistical options so that you can analyze and organize data as required. + You will understand modeling techniques used within the team, then run model tools on prepared data sets. You’ll also analyze model performance and incorporate customer feedback into its evaluation. + You will understand the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. You’ll also write code for a specific feature or model, and develop an understanding of proper debugging techniques. + You will understand each customer’s business goals and learn best practices for identifying growth opportunities. You’ll also examine projects through a customer-oriented focus, and manage customer expectations regarding project progress. **Qualifications** **Required/Minimum Qualifications:** + Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field + OR equivalent experience. + Proven experience developing software in Python + Proven experience working with databases **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 Cloud Background Check upon hire/transfer and every two years thereafter. Data Science IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 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 August 8, 2025. \#azurecore 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) .