Data Scientist

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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 and applied scientists to develop new, cutting-edge services to enable hyperscale growth. The Wide Area Network (WAN) team is responsible for the Wide Area Network interconnecting over 100 data centers, 150 edge sites, and millions of servers all over the world. We are passionate about building the most reliable cloud network using innovations in Software-Defined Networking (SDN), machine learning, optimization, and systems automation.

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.

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.

Required/Minimum Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
  • OR equivalent experience.
• 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

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.

Additional or Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
  • OR related field AND 3+ years data-science 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 5+ years data-science 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• Programming Proficiency in at least one scientific computing language such as Python or C++.
• Data Handling: Advanced SQL skills and 1+ year(s) experience working with large, complex datasets from diverse sources.
• Business Impact: Proven ability to translate business challenges into data science solutions and deliver them end-to-end.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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 June 30, 2025.

#azurecorejobs

• You’ll work on modeling problems, designing code, testing, and deploying software for safety checks and risk analysis of the network. Your work will integrate with other systems across Azure Networking.
• As part of our commitment to operational excellence, you’ll also participate in a shared on-call rotation.
• Help troubleshoot and resolve issues in services your team owns—giving you a unique opportunity to experience the impact of your work firsthand. This tight feedback loop often leads to faster learning and higher quality solutions. In short, you’ll take your ideas from design to production—and own them end to end.
• You will acquire the data necessary for your project plan and develop usable data sets for modeling. You’ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers.
• You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.
• You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques.
• You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations.