Principal Data Scientist Manager

Microsoft is a company where passionate innovators come to collaborate, envision what canbeand take their careersfurther. This is a world ofmorepossibilities, more innovation, more openness, and the skyisthelimitthinkingina 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-timeanalytics,and business intelligence.Theproductsour portfolioincludeMicrosoft 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 tobuildthedata platform for the age of AI, powering a new class of data-firstapplicationsand driving a data culture.

Within Azure Data, the big data analytics teamprovidesa range of products that enable data engineersanddata scientiststo extract intelligence from all data-structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.

In particular, wearehiring forthe Gray Systems Lab (GSL), an applied researchgrouppart of the Azure Data CTO office. GSL tackles interesting challenges in both open-source and proprietary technologies related to analytics, cloud, AI, and storagesystemsamong others. We build reliable, highlyscalableand highly performing distributed systems for data analytics on Azure, wepublish in top-conferencesand are actively involved in open-source projects. GSL researchers and engineers have contributed hundreds of academic papers andbuildtechnologies thatimpactedtens of millions of dollars of Microsoft revenues/costs. We work on novel technologies including analytics on GPUs, container technologies, graph databases,infrastructureand models for LLMs anddata-science, machinelearning forsystems, and many other areas.Data Scientist in GSLfocuson LLM based research as well as ML-for-Systems work, designed to create innovative experiences in the context of all products of Azure Data, as well as optimize and improve the efficiency of how we operate our systems.Managers in GSL act as expert guides designing a broad research agenda and working with individual researchers in pursuing world-class novel research and successfully tech transfer it to product. GSL managers are technically active.

The current role is fora leadof the LLM team in GSL, where you will lead a small team in exploring research topics and creating real world impact. The team has access to powerfulcomputeresources and frontier models that we work with and to advance.

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 arebetter served.

As a Principal Data Scientist Manager, you have an opportunity to work on the latest technologyof LLMs and Data Science and apply them to some of the largest problems in industry, including practical applications of ML on workload insight and optimization, apply innovative algorithms for solving placement and load balancing problems at scale. In GSL weseekcollaborative and inclusivemanagerwho can think big, working on the bleeding edge envisioning a new future, andworkwith our team of researchers and engineers to make it happen. Want to change the world with data and large-scale distributed systems? Do you want to solve challenges that youdidn'teven know existed until you get toa large size? Come join us on the Azure data team!

Managers deliver success through empowerment and accountability by modeling, coaching, and caring.

Model - Live our culture; Embody our values; Practice our leadership principles.

Coach - Define teamobjectivesand outcomes; Enable success across boundaries; Help the team adapt and learn.

Care - Attract andretaingreat people; Knoweach individual'scapabilities and aspirations; Invest in the growth of others.

Business Understanding and Impact:

Leverages subject matterexpertiseand organizational resources to analyze overarching problems and issues facing projects to uncover, manage, and/or mitigate factors that can influence final outcomes. Anticipates roadblocks and ensures proper resources are in place to alleviate their impact. Oversees development of Product Engineering project plans and ensures evaluation of resources, risks, contingencies, requirements, assumptions, and constraints. Leads strategy development efforts spanning multiple projects and communicates efforts to senior leadership.Develops a cohesive, strategic vision and considers broader impact within discipline and within Microsoft as a whole.

Data Preparation and Understanding:

Leverages technicalexpertiseto support team members and manage activities taken to construct final dataset frominitialraw data. Oversees cross-collaboration efforts to ensure data is prepared in a multi-functional approach. Supports team in understanding key technologies and tools necessary for data exploration (e.g., structured query language [SQL], Python). Coaches less experienced engineers in data analysis standards and best practices. Drives discussions around ethics and privacy policies related to research processes and data/information collection. Initiates and finds new data streams and new business opportunities.

Embody ourcultureandvalues

Other Requirements

Abilityto meet Microsoft,customerand/or government security screening requirementsarerequiredfor this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will berequiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional or preferred qualifications

• 7+ years of people management experience.
• 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 7+ years experience conducting research as part of a research program (in academic or industry settings).
• 5+ years experience developing and deploying live production systems, as part of a product team.
• 7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.