PIE's Vision is to make it easy for everyone to create, consume, and manage planetary-scale, reliable cloud production services and infrastructure to achieve more. As a team, we bring together significant and complementary capabilities with tooling, infrastructure, monitoring and insights in new ways to increase our perspective. Our diversity of knowledge and experience comes together for the benefit of our users, our colleagues, our business, and ourselves. 

Responsibilities

As a Data Scientist in the Azure PIE team, you will have vast amount of data to analyze and work with. Working with a variety of Azure service teams closely, you will combine their domain knowledge with the data and generate insights to help improve Azure reliability, engineering efficiency, and supportability. Based on the learnings, you will also create algorithms and machine learning models which can make high confidence decisions and recommendations quickly based on data from multiple sources. Once these models are validated and proven, you will work with our engineering teams to integrate them into production systems and build a scalable pipeline to continuously train and improve. This is a very strategic role in the Azure PIE organization for our AI/ML investment and has great potential business impact and career growth opportunity.

Your responsibilities include but are not limited to:

• Data analytics and insight generation
• AI/ML Model creation and experimentation
• Feature engineering and data engineering
• Domain knowledge understanding
• Integrating ML capabilities into production system at scale
• Collaborate with Microsoft Researchers on strategic projects
• Author technical papers and presentations, and publish them internally and externally

Qualifications

• Required:

  • 3+ years of industry experience in analytics, data science, or operations research
  • 1+ years of experience working with in any of the deep learning frameworks (Keras, TensorFlow, CNTK, etc.)
  • 1+ years if experience in design of experiments (DoE), applying scientific method to business problems, and hypothesis testing

  Preferred:

  • Ability to synthesize complex issues/scenarios into easy-to-understand concepts
  • Demonstrated analytical ability; problem deconstruction, statistical competency, meticulous forensic analysis skills, data validation, and scientific rigor
  • Fluency in a range of statistical data analysis and visualization techniques
  • Demonstrated ability to effectively engage, collaborate, and consult with stakeholders, including effective prioritization, clear communication, and delivery of actionable data-derived insights
  • Excellent verbal and written communication skills
  • Ability to learn as well as design new techniques from textbooks or research papers and apply them to the business problem at hand

#PIEJobs

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. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

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