​​Senior Applied Scientist/Research SDE​

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Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We are in the process of integrating our disparate products into Azure Synapse Analytics with a set of experiences that are meant to simplify and accelerate time to value.

In particular, we are hiring a Senior Applied Scientist for the Gray Systems Lab (GSL), an applied research group part of the Azure Data CTO office. GSL tackles interesting challenges in both open-source and proprietary technologies related to analytics, cloud, AI, and storage systems among others. We build reliable, highly scalable and highly performing distributed systems for data analytics on Azure, we publish in top-conferences and are actively involved in open-source projects. GSL researchers and engineers have contributed hundreds of academic papers and build technologies that impacted tens of millions of dollars of Microsoft revenues/costs. We work on novel technologies including analytics on GPUs, container technologies, graph databases, infrastructure and models for LLMs and data-science, machine learning for systems, and many other areas. With team members originating from 10 countries and 4 continents, each of us brings something authentically unique to the team. In this diverse and inclusive environment, creativity, open dialogue, and a healthy work-life balance are powering GSL innovation and helping each of us grow.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.`

Required/Minimum Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND proficient related experience (e.g., statistics predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)

Other Requirements

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.

Preferred/Additional Qualifications

• ​​Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• Experience conducting research as part of a research program (in academic or industry settings).
• Experience developing and deploying live production systems, as part of a product team.
• Experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.​

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. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (Accessibility | Microsoft Careers).

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​​​​Establishes collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to create business impact. Takes initiative and drives activities such as technology transfers attempts, standards organizations, filing patents, authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups. May publish research to promote receiving new intellectual property for business impact.

Brings new technology and approaches into production by applying long-term research efforts to solve immediate product needs. Collaborates with and bridges the gap between researchers (in community across the company, Microsoft Research [MSR], or in their own organizations) and development teams. Begins to negotiate across teams to ensure cutting edge technology is being applied to products in a practical way that meets key business objectives. Develops an understanding of research approaches used across a group or organization to leverage (and not re-invent) solutions.

Independently works to create product impact. Identifies approach, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact a Microsoft product or service. Designs an approach to solve significant business problems shared by a senior team member. May publish research to promote receiving new intellectual property for product impact.

Serves as an expert within product domain. Gains deep knowledge in a complex or highly ambiguous service, platform, or domain. Shares knowledge of changes in industry trends and advances in applied technologies with engineers and product teams to apply advanced concepts to identify product needs and drive action toward solutions. Fosters audience for the product based on understanding of the industry.

Reviews business and product requirements and incorporates state-of-the-art research or previously tested solutions occurring at Microsoft and the academic field to formulate plans that will meet business goals. Identifies problems and develops strategy to resolve team or feature level problems. Provides strategic direction for the kinds of data used to solve problems.​ ​

Embody our culture and values.