We live in the Age of Data. And we LOVE Data! Data and insights from data power an increasing range of applications, transforming not just the technology industry but society at large. Individuals and businesses need a powerful, elastic, and highly available Data Platform that can help them derive insights from large volumes of data. The Database Systems organization is delivering such a platform for a range of Relational Database workloads, from online transaction processing workloads, to data warehousing solutions, from on premise enterprise systems, to on-demand cloud services. Uniquely in the industry, we deal with the full breadth of environments, from server-based to cloud-based systems, delivering features that work across these environments, providing differentiated value to our customers.
We are a full stack team, tackling the breadth of technology from distributed systems, availability, scalability, security, query processing, storage, operating systems, networking, management tools, web development, and most other fields in Computer Science. As an organization, we are also proud of our world class team, our deep investments in growing and retaining talent, and the diversity of skills, experiences, interests and personalities that makes our team strong. Along with the positive impact to society from our technology, our team also prides itself on direct involvement in various social causes, particularly related to broadening access to technology to all sections of society. To help our business to succeed in its ambitions, the Database Systems team is building up Business Analytics capabilities that allow us to track and improve customer experience, provide metrics around growth of existing and new offerings we are constantly developing, and want to apply Machine Learning techniques to answer various business questions. We are creating and maintaining data pipelines and Data Warehouses that allow us to analyze very large data sets that are emitted from our cluster telemetry, and relevant data from across the company. We won't work in isolation but will leverage analytical work that has been done across the company.
To help our business to succeed in its ambitions, the Azure Data team is expanding its Business Analytics capabilities that allow us to track and improve customer experience and understand the breadth of solutions our customers build on Azure and how they use these solutions. We're also working on solutions to improve the SLA of our services.
We are looking for a Principal Data Scientist who is passionate about applying analytical skills and data science to help our various businesses grow and provide our growing set of services with insights. You will lead and mentor a team of Data Scientists. Our work is highly varied and offers a chance to focus on many different data science techniques and aspects of the Azure Data business. You will work on both service-oriented and business-oriented data science projects. We expect all team members to contribute broadly, with an agile and growth mindset, so your ability to step into multiple areas will be a key attribute.
* MS in statistics, computer science, mathematics, economics or other technical or analytical field
* Proven track record of moving data science solutions into production
* Experience with product and service telemetry systems
* Ability to drive product and business impact
* Strong interpersonal and communication skills
* 8+ years of relevant experience with statistical inference, machine learning, experiments, or other areas of data science
* Proficiency in a data manipulation language (SQL, U-SQL, etc.)
* Proficiency using one or more programming or scripting languages (C#, C++, Java, Python, R, etc.) to work with data
Preferred, but not required:
* PhD in statistics, computer science, mathematics, or other technical or analytical field
* Experience with unsupervised learning methods, model interpretability, metric design, or inference over observational data
* Engineering experience using large data systems on SQL, Hadoop, Spark, etc.
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.
As a Principal Data Scientist, you will work with our Business Analytics PMs and the various businesses (such as Azure SQL DB, SQL-DW, Cosmos DB, HDInsight, etc.) to define the areas that require advanced analytics. You will engage with these stakeholders to produce clear, compelling, and actionable insights that drive the growth of the Azure Data business. You will partner with data engineers to help to design, implement, and fully productized analytics and machine learning solutions at scale.
Microsoft develops, licenses, and supports software, services, devices, and solutions.