Microsoft Senior Data Architect 

United States, Washington 

362051837

Required/Minimum Qualifications

• 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 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 techniques and reporting results)
  • OR 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 equivalent experience.

Additional or Preferred Qualifications

• 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 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 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)
• Experience with distributed computing frameworks (e.g., Spark), configuring, and running services in Kubernetes clusters. Experience contributing to Open Source Projects and with Threat Modeling.
• Experience with Azure ML services, and/or Azure Cognitive services, and/or TensorFlow and/or PyTorch.
• "Hands on" Experience creating Proof of Concepts, Minimum Viable Products (MVPs) for customers that lead to production deployments.

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 September 26, 2024.

• Work closely with data analysts, data scientists, business, and project stakeholders to deliver data science solutions for a diverse set of problems. Help ensure security, privacy and compliance for all data assets and cloud resources.
• Design and implement Azure cloud architectures that support our data science and experimentation projects.
• Design and develop cloud-based data pipelines for data collection, analysis, and related functions.
• Provide thought leadership for technical architecture design, development, and deployment to support customer/partners data science scenarios. Identify technical blockers to accelerate architecture implementations and route non-technical issues for removal by the appropriate party.
• Share ideas, insight, and technical input with virtual team members using a working knowledge of Azure architectures and other relevant products. Actively look for relevant communities to learn from and contribute to.
• Participate in security peer reviews to identify and mitigate risks, including code reviews and threat modeling.
• Represent our capabilities and product offerings to internal and external leadership audiences, both technical and non-technical. Help advance the research agenda for AI For Good initiatives.
• Embodying our and