Overview 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 in 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 SR 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 high-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 built 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.
Qualifications Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND extensive 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 Computer Science, or Computer Engineering, or related field AND related experience (e.g., fault-tolerant distributed systems, modeling, research) Extensive experience with one or more of the following languages: C#, Java, Python, C++, Rust. Experience publishing academic papers as a lead author or essential contributor. Responsibilities Establish collaborative relationships with relevant product and business groups inside or outside of Microsoft and provide expertise or technology to create business impact. Take initiative and drive 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. Publish research to promote receiving new intellectual property for business impact. Bring new technology and approaches into production by applying long-term research efforts to solve immediate product needs. Collaborate with and bridge the gap between researchers (in community across the company, Microsoft Research MSR, or in their own organizations) and development teams. Negotiate across teams to ensure cutting-edge technology is being applied to products in a practical way that meets key business objectives. Develop an understanding of research approaches used across a group or organization to leverage (and not re-invent) solutions. Independently work to create product impact. Identify approach, and apply, improve, or create a research-backed solution (e.g., novel, data-driven, scalable, extendable) to positively impact a Microsoft product or service. Design an approach to solve significant business problems shared by a senior team member. Publish research to promote receiving new intellectual property for product impact. Serve as an expert within the product domain. Gain deep knowledge in a complex or highly ambiguous service, platform, or domain. Share 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. Foster an audience for the product based on understanding of the industry. Review business and product requirements and incorporate state-of-the-art research or previously tested solutions occurring at Microsoft and the academic field to formulate plans that will meet business goals. Identify problems and develop strategy to resolve team or feature level problems. Provide strategic direction for the kinds of data used to solve problems. Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work:
Industry leading healthcare Educational resources Discounts on products and services Savings and investments Maternity and paternity leave Generous time away Giving programs Opportunities to network and connect
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