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Microsoft Corporation Data and Applied Scientist II in Redmond, Washington

Do you want to be part of Microsoft's journey in making Azure world’s computer? Do you want to build the next-generation cloud infrastructure system that can manage and operate itself by predicting, detecting, and mitigating outages automatically? Do you want to build Artificial Intelligence solutions to solve real-world technical and business problems? Do you enjoy working with planetary scale data? If these challenges excite you, this is the opportunity for you!

Azure Production Infrastructure Engineering (PIE) team is hiring a data scientist to help us create an intelligent cloud system that learns from all the Azure operational data and makes Azure operation fully automated with minimal human effort to achieve the highest level of reliability and efficiency.

Azure PIE team is responsible for providing all the foundational systems and tools to build, operate, and support entire Azure and many Microsoft Cloud Services. These systems and tools include engineering pipelines, deployment, incident management, change management, monitoring, automation framework, data analytics, etc. Many of these products serve both internal Microsoft engineers and external Azure users. As Azure continues to grow rapidly in scale and complexity, we are investing heavily in AI/ML space to revolutionize how we manage and operate Azure by building intelligence into every part of our service infrastructure. For example, from all the monitors and incident data, how can our system automatically predict a customer impacting outage and prevent it from happening? When outage happens, how to automatically identify the root cause, correlate different services' impact and apply mitigation to minimize the customer impact?

As a data scientist in Azure PIE, you will have vast amount of data to analyze and work with. Working with a variety of Azure 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 metrics, algorithms, and solutions that can make high confidence decisions and recommendations. Once these solutions are validated, you will work with engineering teams to integrate them into production systems and build scalable pipelines to continuously improve. This is a role that has great potential business impact and career growth opportunity.


  • Build data pipelines including components for data ingestion, integration, cleansing, and transformation

  • Design and implement visualization dashboards

  • Perform feature engineering using text mining, data mining, and domain knowledge

  • Perform descriptive, predictive, and prescriptive analytics

  • Write technical reports

  • Distill domain knowledge by working with subject matter experts

  • Collaborate with product managers, engineering teams, and end users


Required Qualifications:

  • Master’s degree majored in STEM (Science Technology Engineering Mathematics)

  • 4+ years of fulltime industry experience

  • 2+ years of fulltime industry experience in Data Engineering, Analytics, Data Science, or AI/ML

Preferred Qualifications:

  • Outstanding ability of programming with SQL, R/Python, or equivalent languages

  • Outstanding ability of building data pipelines on a big-data platform

  • Fluency in a range of statistical analysis and data visualization techniques

  • Experience in machine learning, data mining, and optimization

  • Experience in design of experiments, hypothesis testing, and causal inference

  • Ability to synthesize complex issues/scenarios into easy-to-understand concepts

  • Excellent verbal and written communication skills

  • Demonstrated ability in solving problems under uncertainty

  • Demonstrated ability to effectively collaborate with stakeholders, including effective prioritization, clear communication, and delivery of actionable insights

  • The most successful candidates will possess the ability to learn or design new techniques from literature and apply them to the business problems


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 at .

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