Job Description

Overview

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.

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Qualifications

Required qualifications:

• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR equivalent experience.
• Experience debugging, supporting, or managing production servers.

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. 

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.
• 1+ year(s) development experience in networking or Linux kernel
• 1+ year(s) of experience using Python/R and SQL.

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 October 14th, 2025.

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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.
• Embody our culture and values

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

 Industry leading healthcare

 Educational resources

 Discounts on products and services

 Savings and investments

 Maternity and paternity leave

 Generous time away

 Giving programs

 Opportunities to network and connect

Job Tags

Full time,

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