Principal Data Scientist Manager

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 our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure Postgre

SQL, 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 build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.

In particular, we are hiring 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. Data Scientist in GSL focus on 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 for a lead of 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 powerful compute resources 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 are better served.

Responsibilities

As a Principal Data Scientist Manager, you have an opportunity to work on the latest technology of 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  GSL we seek collaborative and inclusive manager who can think big, working on the bleeding edge envisioning a new future, and work with 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 you didn't even know existed until you get to a 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 team objectives and outcomes;
Enable success across boundaries;
Help the team adapt and learn.

Care - Attract and retain great people;
Know each individual's capabilities and aspirations;
Invest in the growth of others.

Business Understanding and Impact:

Leverages subject matter expertise and organizational…