Job Description

Would you like to create tools and systems to construct one of the largest and fastest growing networks on the planet? Azure Networking is looking for creative, motivated data scientists to develop new, cutting-edge services to enable hyperscale growth. The WAN team is responsible for the Wide Area Network interconnecting over 100 datacenters, 150 edge sites, and millions of servers all over the world. We're passionate about building the most reliable cloud network using innovations in SDN, machine learning, optimization and systems automation. As a Data Scientist, you will help design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse data sources to generate actionable insights and solutions for client services, product enhancement and business impact. This opportunity will allow you to interact with product and service teams to identify questions and hypotheses for data analysis and experiments. You will develop and code software programs, algorithms, models and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Our team is tackling two of the hardest problems in cloud networking - predicting what the network needs to look like in the future and preventive risk alerting based on network state and traffic growth to ensure safe network operation. Our team owns the entire software lifecycle from design through development, deployment, and operations. This is a high visibility position in Azure Networking and offers a terrific opportunity for technical and career growth. **Responsibilities** + You will learn and understand project objectives and requirements from a business perspective as well as assist senior leads with the assessment of a project, including risks, contingencies, requirements, assumptions, and constraints. + You will contribute to the development of a project plan as well as share insights with stakeholders based on direct work and understand which analysis techniques are appropriate for data and which key technologies and tools are necessary for data exploration (e.g., structured query language [SQL], Python). + You will assist with initial data collection and familiarizes self with data in order to identify quality problems, discover insights into the data and/or detect subsets to form hypotheses. + You will learn and understand various modeling techniques used within the team (e.g., linear regression, multiple regression, decision-tree building, neural network generation, support machines, derivatives) as well as run model tools on prepared dataset to create one or more models, seeking guidance as needed. + You will contribute to the research, identification, prototyping, and productizing of machine learning (ML) and algorithms and understand the linkage between achieved model and business objectives. + You will assist with testing models on test applications and on real data or production data and learn and understand the current state of the industry, including knowledge of tools, techniques, strategies and processes that can be utilized to improve process efficiency and performance. + You will embody our culture ( and values ( . **Qualifications** **Required Qualifications:** + Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field + OR equivalent experience **Additional 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. **Preferred Requirements:** + Master's Degree (or currently pursuing) in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field + OR Bachelor's Degree (or currently experience) in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience + Foundation in mathematical optimization, including hands-on experience with linear programming, mixed-integer programming, or other optimization methods. + Proficiency in at least one programming language commonly used in scientific computing (e.g., Python, C++, ...). + Experience using optimization solvers such as Gurobi, CPLEX, OR-Tools, or similar. + Ability to translate real-world problems into formal models and develop practical, scalable solutions. + Experience applying optimization techniques in production systems or large-scale applications. + Familiarity with simulation-based approaches or stochastic modeling. + Record of research publications or contributions to applied optimization projects. + Experience working in cloud-based environments (e.g., Azure, AWS, GCP). + Collaboration and communication skills, including the ability to explain complex technical concepts to non-technical audiences. 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: Microsoft will accept applications for the role until June 6, 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 ( .

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