The Microsoft Azure Host Networking and Hardware Acceleration team is building a high-performance and reliable cloud network. This organization is responsible for developing and maintaining the network layers that span from physical infrastructure to virtual machines. Current and future development efforts are focused on Linux platforms and hardware design. We are seeking an early-career Data Scientist I who is eager to engage with real-world product issues and use that experience to generate actionable insights that improve both our product and engineering processes.As a Data Scientist I, you will contribute to extending our auto-detection systems, participate in investigations of business-critical incidents, and grow as a subject matter expert in kernel-level networking operations. You will work with novel networking data to uncover insights that shape engineering behavior and process improvements. Curiosity about system internals, effective communication skills, and familiarity with low-level compute concepts will be valuable in this role.You will collaborate with engineers across Azure and contribute to the evolution of our platform’s reliability and efficiency through data-driven approaches.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. #azurecorejobs #EiP
Locations
Redmond, Washington, United States, Redmond, Washington, United States
Salary
Salary not disclosed
Required Qualifications
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR equivalent experience. (degree)
OR equivalent experience. (degree)
Experience debugging, supporting, or managing production servers. (degree)
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. (degree)
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. (degree)
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field OR Bachelor's Degree 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. (degree)
OR related field OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, (degree)
OR related field AND 1+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) (degree)
OR equivalent experience. (degree)
1+ year(s) development experience in networking or Linux kernel (degree)
1+ year(s) of experience using Python/R and SQL. (degree)
None (degree)
Preferred Qualifications
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field OR Bachelor's Degree 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. (degree)
OR related field OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, (degree)
OR related field AND 1+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) (degree)
OR equivalent experience. (degree)
1+ year(s) development experience in networking or Linux kernel (degree)
1+ year(s) of experience using Python/R and SQL. (degree)
Responsibilities
Develop LLM based solutions for expert recommendation systems
Draw conclusions from novel network trace data
Drive insights from process data
Take ownership and drive mission critical customer escalations.