Job Description

Azure Reliability is dedicated to making,

Azure the safest and most reliable Cloud.

We are an engineering organization working horizontally across Azure to systemically lift overall platform reliability to benefit our customer's experience of Azure as a whole. We are building a holistic understanding of the Azure platform ( a digital twin) to empower better reliability decisions. We're doing this by building a central clearinghouse for risk and change information gathered through a combination of proactive and reactive analysis of our systems and incidents.

We deep dive into specific service areas, establishing long term engagements to engineer reliability into our most important services. In parallel we're working to improve our ability to manage Azure at scale, implementing consistent approaches to *how* we manage the platform.

Accurate data is the foundation of nearly all operational data insights work and is also key in responding to security incidents and maintaining compliance. The AzRel team plays a critical role by ensuring timely, accurate, and comprehensive data insights to meet many business-critical partner requirements. Our team's larger mission is to improve Microsoft Azure and other services' availability, reliability, and resultant customer satisfaction by creating and leveraging trusted data, models, and insights on top of the foundational service.

As a Principal Data Scientist on the AzRel team, you will be using data science techniques and statistical analysis, paired with your ability to architect, design, and develop systems, in order to provide key insights that optimize the immense growth of Microsoft's world-class cloud services. You will also be analyzing the data and metadata produced by your tools to explore and identify opportunities to improve Azure Production. Your leadership, both technical (data science, software engineering, data modeling) and non-technical, will be critical in ensuring that our system grows with engineering rigor and scalable design. You will understand partner requirements and the Azure ecosystem in order to determine how the system can grow to meet those needs. This is an opportunity to make an impact on the global systems and thought processes for the largest Cloud infrastructure on the planet.

* BS in Computer Science, Statistics or similar discipline, OR at least 4 years of equivalent software engineering work experience
* A minimum of 10 years of experience as a software engineer, coding an object-oriented programming language such as C, Java, or C++
* A minimum of 4 years of experience performing data or statistical analytics in languages such as R or Python.
* A minimum of 4 years of experience using data to drive management and executive decision-making.
* A minimum of 8 years of experience either developing and owning production quality, scalable software services, and/or Big Data ingestion and processing pipelines

Preferred Qualifications

* Experience with Cloud Storage technologies, NoSQL and SQL
* Experience analyzing large datasets to identify inefficiencies and/or risks.
* Experience building and leading a new initiative from conception to automation.
* Demonstrated ability to operate independently and create objectives and metrics for a team.
* Background in data mining and statistical analysis
* Experience with Data Modeling
* Experience with designing and implementing Analytics applications
* Experience with Outlier detection techniques, Machine Learning
* Experience with enterprise-scale datacenter infrastructure (Servers, racks, network topology)
* Experience mentoring more junior engineers.
* Experience in designing, building, and troubleshooting large-scale distributed systems
* Experience with Big Data ingestion, storage, and distributed processing pipelines (MapReduce, Hadoop, Spark, Azure Data Lake, Application Insights, HDInsights)
* Advanced design and problem solving skills, with a bias for quality and engineering excellence
* Demonstrable ability to own and deliver projects and results of increasing technical complexity
* Excellent communications skills, both verbal and written
* Strong leadership, ownership, urgency, and drive to launch services
* Effective collaborator, experienced in creating technical partnerships across teamsu202Fu202Fu202F

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.